From fcdaa014ff05fad13a03945b2a3d7b54e71cba46 Mon Sep 17 00:00:00 2001
From: Nick Eubank <nick@nickeubank.com>
Date: Tue, 14 Nov 2023 13:59:49 -0500
Subject: [PATCH] update with sklearn

---
 docs/html/.doctrees/class_schedule.doctree    | Bin 116281 -> 117220 bytes
 docs/html/.doctrees/environment.pickle        | Bin 431815 -> 431815 bytes
 .../.doctrees/exercises/Exercise_dask.doctree | Bin 94691 -> 94691 bytes
 docs/html/class_schedule.html                 |   2 +-
 source/class_schedule.csv                     |   2 +-
 source/class_schedule_xlsx.xlsx               | Bin 13925 -> 13933 bytes
 6 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/html/.doctrees/class_schedule.doctree b/docs/html/.doctrees/class_schedule.doctree
index ac05adb8468e52bd77e90dfa692a7dd703cb26b8..e98119a91162e5cc852ea1426f9d44b2d9a9f756 100644
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diff --git a/docs/html/.doctrees/environment.pickle b/docs/html/.doctrees/environment.pickle
index e2cc1d9700f470cacf139c6551ef73a24f1fd07a..49c868a4c61357b19122b9fd01eca386f0db5461 100644
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diff --git a/docs/html/class_schedule.html b/docs/html/class_schedule.html
index 6e0739c..ea4a072 100644
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data-md-component=navigation > <div class=md-sidebar__scrollwrap > <div class=md-sidebar__inner > <nav class="md-nav md-nav--primary" data-md-level=0 > <label class="md-nav__title md-nav__title--site" for=__drawer > <a href=index.html  title="Practical Data Science" class="md-nav__button md-logo"> <img src="_static/mids_logo.svg" alt=" logo" width=48  height=48 > </a> <a href=index.html  title="Practical Data Science">Practical Data Science</a> </label> <ul class=md-nav__list > <li class=md-nav__item > <input class="md-toggle md-nav__toggle" data-md-toggle=toc  type=checkbox  id=__toc > <label class="md-nav__link md-nav__link--active" for=__toc > Class Schedule </label> <a href="#" class="md-nav__link md-nav__link--active">Class Schedule</a> <nav class="md-nav md-nav--secondary"> <label class=md-nav__title  for=__toc >"Contents"</label> <ul class=md-nav__list  data-md-scrollfix=""> <li class=md-nav__item ><a href="#class-schedule--page-root" class=md-nav__link >Class Schedule</a><nav class=md-nav > <ul class=md-nav__list > <li class=md-nav__item ><a href="#office-hours-and-links" class=md-nav__link >Office Hours and Links</a> <li class=md-nav__item ><a href="#class-time" class=md-nav__link >Class Time</a> </ul> </nav> </ul> </nav> <li class=md-nav__item > <a href=autograder_guidelines.html  class=md-nav__link >Autograder Guidelines</a> <li class=md-nav__item > <a href=not_a_mids_student.html  class=md-nav__link >Not a MIDS Student?</a> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=toc > <div class=md-sidebar__scrollwrap > <div class=md-sidebar__inner > <nav class="md-nav md-nav--secondary"> <label class=md-nav__title  for=__toc >"Contents"</label> <ul class=md-nav__list  data-md-scrollfix=""> <li class=md-nav__item ><a href="#class-schedule--page-root" class=md-nav__link >Class Schedule</a><nav class=md-nav > <ul class=md-nav__list > <li class=md-nav__item ><a href="#office-hours-and-links" class=md-nav__link >Office Hours and Links</a> <li class=md-nav__item ><a href="#class-time" class=md-nav__link >Class Time</a> </ul> </nav> </ul> </nav> </div> </div> </div> <div class=md-content > <article class="md-content__inner md-typeset" role=main > <section id=class-schedule > <h1 id=class-schedule--page-root >Class Schedule<a class=headerlink  href="#class-schedule--page-root" title="Permalink to this headline">¶</a></h1> <section id=office-hours-and-links > <h2 id=office-hours-and-links >Office Hours and Links<a class=headerlink  href="#office-hours-and-links" title="Permalink to this headline">¶</a></h2> <p><a class="reference external" href="https://duke.zoom.us/my/nickeubank">Nick</a> : Thursday 10 am - 11 am</p> <p><a class="reference external" href="https://duke.zoom.us/j/6897746818">Pomelo</a> Tuesday, 5pm - 6pm</p> <p><a class="reference external" href="https://duke.zoom.us/j/7110197485">Suzy</a>: Wednesday, 12 pm - 1pm</p> </section> <section id=class-time > <h2 id=class-time >Class Time<a class=headerlink  href="#class-time" title="Permalink to this headline">¶</a></h2> <p>Class will be Tuesdays and Thursdays from 1:25pm-2:40pm (EDT).</p> <table> <colgroup> <col style="width: 18%"/> <col style="width: 35%"/> <col style="width: 41%"/> <col style="width: 6%"/> <thead> <tr class=row-odd ><th class=head ><p>Date, Rm</p> <th class=head ><p>Topic</p> <th class=head ><p>Do Before Class</p> <th class=head ><p>In-Class Exercise</p> <tr class=row-even ><td><p>Tues, Aug 29</p> <td><ul class=simple > <li><p>Class Introduction</p> <li><p>Welcome to VS Code</p> </ul> <td><ul class=simple > <li><p><strong>SETUP 1:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_python.html">Installing Python and miniconda</a></p> <li><p><strong>SETUP 2:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_vscode.html">Installing and Configuring VS Code</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/99_advice/llms.html">chatGPT and You</a></p> </ul> <td> <tr class=row-odd ><td><p>Thurs, Aug 31</p> <td><ul class=simple > <li><p>Command Line Basics</p> </ul> <td><ul class=simple > <li><p><strong>SETUP 3:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_augmented_commandline.html">Setup Augmented Command Line</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/10_commandline/commandline_part1.html">Command Line Basics</a></p> <li><p><a class="reference external" href="https://github.com/nickeubank/practicaldatascience/raw/master/syllabus/Syllabus_PracticalDataScience.pdf">Read and sign syllabus</a></p> <li><p><a class="reference external" href="https://uma.pop.umn.edu/usa/user/new">Register with IPUMS</a></p> <li><p><a class="reference external" href="https://www.datacamp.com/home">Register for DataCamp</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_CommandLine_1_Basics.html"><span class=doc >Ex</span></a></p> </ul> <tr class=row-even ><td><p>Fri, Sep 1</p> <td><p><strong>SOFTWARE INSTALL DAY</strong></p> <td><p>A day of trouble shooting install issues</p> <td> <tr class=row-odd ><td><p>Tues, Sep 5</p> <td><ul class=simple > <li><p>Advanced Command Line</p> <li><p>Git</p> <li><p>Packages</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/10_commandline/commandline_part2.html">Advanced Command Line</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/30_managing_python_packages.html">Python packages</a></p> <li><p><a class="reference internal" href=git_and_github.html ><span class=doc >Git and Github</span></a></p> <li><p><a class="reference external" href="https://learngitbranching.js.org/">Visualize Git Branches</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_CommandLine_2_Advanced.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_git.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 7</p> <td><ul class=simple > <li><p>Git Continued</p> <li><p>Jupyter</p> </ul> <td><ul class=simple > <li><p>Oopsie Resource: <a class="reference external" href="https://ohshitgit.com/">Oh 💩, Git!</a></p> <li><p><a class="reference external" href="https://xkcd.com/1597/">The secret of git</a></p> <li><p><strong>SETUP 4:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/jupyter_in_vscode.html">Jupyter in VS Code</a></p> <li><p><strong>OPTIONAL SETUP:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/jupyter_r_notebooks.html">R Jupyter Notebooks</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_jupytervscode.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_git_2.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 12</p> <td><ul class=simple > <li><p>Python Debugger</p> <li><p>R / Python Differences</p> <li><p>Packages</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://www.youtube.com/watch?v=JD8BrXXNtjA">What are Tracebacks?</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/10_debugging_principles.html">Debugging Tools</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/20_debugging_in_vscode.html">Python Debugger in VS Code</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/vars_v_objects.html">variables v objects</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/python_v_r.html">Python v. R</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_debugger.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_variables_v_objects.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 14</p> <td><ul class=simple > <li><p>Numpy Basics</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_2/10_why_numpy.html">Why numpy? through Vector Subsetting Recap, SKIP Speed/Ease of Use Tradeoff and Vectorization</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_numpy_vectors.html"><span class=doc >Ex 1</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 19</p> <td><ul class=simple > <li><p>Numpy Arrays</p> </ul> <td><p><strong>More Numpy Concepts:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/10_views_and_copies.html">Views and Copies</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/11_when_do_I_get_a_view.html">When Do I Get a View</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/13_objects_and_variables.html">Variables, Objects, and Numpy</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/12_views_and_copies_recap.html">Views and Copies Recap</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/ints_and_floats.html">Numbers in Computer</a></p> </ul> <p><strong>Matrices:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/00_welcome_to_week_3.html">Matrices — From Welcome through Review of Matrices</a> (<em>see navigation bar on left</em>)</p> </ul> <p><strong>ND Arrays:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/40_nd_arrays.html">Arrays — From Welcome through Color Images as Arrays</a> (<em>see navigation bar on left</em>)</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_numpy_viewcopies.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 21</p> <td><ul class=simple > <li><p>Pandas: Series</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/10_speed_and_ease_of_use.html">Speed / Ease of Use Tradeoff</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/11_vectorization.html">Vectorization</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/00_intro_to_pandas.html">Pandas: From Working with Tabular Data through Subsetting and Indexing with Single Square Brackets</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_series.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 26</p> <td><ul class=simple > <li><p>Pandas: DataFrames</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/30_pandas_dataframes.html">Pandas DataFrames</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/35_pandas_dataframe_gotchas.html">Pandas DataFrame Gotchas</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/50_pandas_pyarrow.html">PyArrow Backend</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_dataframes.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 28</p> <td><ul class=simple > <li><p>Pandas: Indices &amp; Missing</p> </ul> <td><ul class=simple > <li><p>WM pp 136-142 (Indices, Section 5.2 up to MultiIndexes)</p> <li><p><a class="reference external" href="https://jakevdp.github.io/PythonDataScienceHandbook/03.04-missing-values.html">Handling Missing Data</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/10_views_and_copies_numpy_review.html">Views and Copies in Pandas through the View/Copy Headache without CoW</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/50_pandas_pyarrow.html">If you didn’t read Tuesday: PyArrow Backend</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_indices.html"><span class=doc >Link 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_missing.html"><span class=doc >Link 2</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 3</p> <td><ul class=simple > <li><p>Pandas: Cleaning</p> <li><p>Tracebacks</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/00_plaintext_files.html">Reading and Writing Data (plaintext AND binary)</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/20_cleaning_identifying.html">Data Cleaning (through the missing data subsection on left side bar)</a></p> <li><p><a class="reference external" href="https://realpython.com/python-data-types/#strings">Python Strings (string section only!)</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_cleaning.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 5</p> <td><ul class=simple > <li><p>Merging</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_4/00_intro_to_querying_data.html">Data Manipulations, Concatenating and Merging (NOT grouping or querying subsections on left navigation)</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_merging.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 10</p> <td><ul class=simple > <li><p>Plotting</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_2/10_plotting_in_python.html">Plotting in Python through seaborn and Grammer of Graphics</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_plotting_part1.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 12</p> <td><p><strong>FALL BREAK</strong></p> <td> <td> <tr class=row-odd ><td><p>Tues, Oct 17</p> <td><p><strong>FALL BREAK</strong></p> <td> <td> <tr class=row-even ><td><p>Thurs, Oct 19</p> <td><ul class=simple > <li><p>Plotting</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_5/45_plotting_with_matplotlib.html">Matplotlib</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_5/46_making_plots_pretty.html">Making Pretty Plots</a></p> <li><p><a class="reference external" href="https://seaborn.pydata.org/generated/seaborn.objects.Plot.on.html">Convert seaborn.objects to matplotlib axes</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_plotting_part2.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 24</p> <td><ul class=simple > <li><p>Big Data: What is it, how do I work with it?</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/10_big_data_what_is_it.html">What is Big Data?</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/20_big_data_strategies.html">Strategies for Big Data</a></p> <li><p>Download the dataset linked at the top of the linked exercise before class.</p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/30_parquet.html">Parquet Format</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_bigdata.html"><span class=doc >Ex</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 26</p> <td><ul class=simple > <li><p>Defensive Programming</p> <li><p>Workflow</p> <li><p>Backwards Design</p> <li><p>Getting Help Online</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/workflow.html">Workflow Management</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/backwards_design.html">Backwards Design</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/getting_help.html">Getting Help</a></p> <li><p><a class="reference external" href="https://github.com/nickeubank/practicaldatascience/blob/master/opioid_project/PDS_ProjectSummary.pdf">Opioid Project</a></p> </ul> <td> <tr class=row-odd ><td><p>Tues, Oct 31</p> <td><ul class=simple > <li><p>Defensive Programming</p> <li><p>Groupby / Split-Apply-Combine</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/defensive_programming.html">Defensive Programming</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/iceberg_principle.html">Iceberg Principle</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_4/20_grouping.html">Groupby</a></p> <li><p>WM pp Chpt 10, 10.1, 10.2, 10.3</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_groupby.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Nov 2</p> <td><ul class=simple > <li><p>Pandas: Reshaping</p> <li><p>Pandas: Categoricals</p> </ul> <td><ul class=simple > <li><p>WM 8.3</p> <li><p><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html">Pandas reshaping (with pics!)</a></p> <li><p><a class="reference external" href="http://vita.had.co.nz/papers/tidy-data.html">What is goal of reshaping?</a></p> <li><p>Categoricals: WM 12.1</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_reshaping.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Nov 7</p> <td><ul class=simple > <li><p>Speed and Performance in Python</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/10_speed_and_ease_of_use.html">Understanding Performance</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/50_performance_solutions.html">Improving Performance</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/object_vectors.html">Object dtypes</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/pr_review.html">Code Reviews</a></p> <li><p><strong>Project Strategy Plan Due</strong></p> </ul> <td> <tr class=row-even ><td><p>Thurs, Nov 9</p> <td><ul class=simple > <li><p>Statistics with statsmodels</p> </ul> <td><ul class=simple > <li><p>WM, 3rd Edition, Chapter 12, 12.1, 12.2, 12.3 (Patsy and statsmodels, not scikit-learn)</p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/regression.html">Skim “Linear Models”</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/discretemod.html">Skim “Discrete Dep Var Models”</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/examples/notebooks/generated/regression_diagnostics.html">Regression Diagnostics</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/examples/notebooks/generated/regression_plots.html">Regression Plots</a></p> <li><p><a class="reference external" href="https://patsy.readthedocs.io/en/latest/R-comparison.html">Patsy: Differences from R</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_statsmodels.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Nov 14</p> <td><ul class=simple > <li><p>Machine Learning with sckikit-learn</p> </ul> <td><ul class=simple > <li><p>JVP Chapter 5 up to “Hyperparameters and Model Validation” Section (pp 331 - 359)</p> </ul> <td> <tr class=row-even ><td><p>Thurs, Nov 16</p> <td><ul class=simple > <li><p>Defining Your Own Estimators</p> <li><p>Regex</p> </ul> <td><ul class=simple > <li><p>Review linear regression as matrix manipulations. <a class="reference external" href="https://www.stat.purdue.edu/~boli/stat512/lectures/topic3.pdf">Here’s a nice review.</a></p> <li><p><a class="reference external" href="https://realpython.com/python3-object-oriented-programming/">Review how to define classes</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/41_broadcasting.html#a-common-gotcha-narrow-matrices-v-1-dimensional-vectors">Broadcasting Gotchyas</a></p> </ul> <td> <tr class=row-odd ><td><p>Tues, Nov 21</p> <td><p>No Class</p> <td> <td> <tr class=row-even ><td><p>Thurs, Nov 23</p> <td><p>THANKSGIVING</p> <td> <td> <tr class=row-odd ><td><p>Tues, Nov 28</p> <td><ul class=simple > <li><p>Parallelism</p> <li><p>Distributed Computing</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href=parallelism.html ><span class=doc >Parallel Computing</span></a></p> <li><p><a class="reference internal" href=distributed_computing.html ><span class=doc >Distributed Computing with dask</span></a></p> </ul> <p>(Note reading includes a 45 minute video to watch) <strong>Optional:</strong> - <strong>Opioid Project Rough Draft Due</strong></p> <td> <tr class=row-even ><td><p>Thurs, Nov 30</p> <td> <td> <td> <tr class=row-odd ><td><p>Wed Dec 13</p> <td> <td><p><strong>Final Project Report and Presentation Due</strong></p> <td> </table> </section> </section> </article> </div> </div> </main> </div> <footer class=md-footer > <div class=md-footer-nav > <nav class="md-footer-nav__inner md-grid"> <a href=index.html  title="Hello!" class="md-flex md-footer-nav__link md-footer-nav__link--prev" rel=prev > <div class="md-flex__cell md-flex__cell--shrink"> <i class="md-icon md-icon--arrow-back md-footer-nav__button"></i> </div> <div class="md-flex__cell md-flex__cell--stretch md-footer-nav__title"> <span class=md-flex__ellipsis > <span class=md-footer-nav__direction > "Previous" </span> Hello! </span> </div> </a> <a href=autograder_guidelines.html  title="Guidelines for Using the Gradescope Autograder" class="md-flex md-footer-nav__link 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class=md-nav > <ul class=md-nav__list > <li class=md-nav__item ><a href="#office-hours-and-links" class=md-nav__link >Office Hours and Links</a> <li class=md-nav__item ><a href="#class-time" class=md-nav__link >Class Time</a> </ul> </nav> </ul> </nav> <li class=md-nav__item > <a href=autograder_guidelines.html  class=md-nav__link >Autograder Guidelines</a> <li class=md-nav__item > <a href=not_a_mids_student.html  class=md-nav__link >Not a MIDS Student?</a> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component=toc > <div class=md-sidebar__scrollwrap > <div class=md-sidebar__inner > <nav class="md-nav md-nav--secondary"> <label class=md-nav__title  for=__toc >"Contents"</label> <ul class=md-nav__list  data-md-scrollfix=""> <li class=md-nav__item ><a href="#class-schedule--page-root" class=md-nav__link >Class Schedule</a><nav class=md-nav > <ul class=md-nav__list > <li class=md-nav__item ><a href="#office-hours-and-links" class=md-nav__link >Office Hours and Links</a> <li class=md-nav__item ><a href="#class-time" class=md-nav__link >Class Time</a> </ul> </nav> </ul> </nav> </div> </div> </div> <div class=md-content > <article class="md-content__inner md-typeset" role=main > <section id=class-schedule > <h1 id=class-schedule--page-root >Class Schedule<a class=headerlink  href="#class-schedule--page-root" title="Permalink to this headline">¶</a></h1> <section id=office-hours-and-links > <h2 id=office-hours-and-links >Office Hours and Links<a class=headerlink  href="#office-hours-and-links" title="Permalink to this headline">¶</a></h2> <p><a class="reference external" href="https://duke.zoom.us/my/nickeubank">Nick</a> : Thursday 10 am - 11 am</p> <p><a class="reference external" href="https://duke.zoom.us/j/6897746818">Pomelo</a> Tuesday, 5pm - 6pm</p> <p><a class="reference external" href="https://duke.zoom.us/j/7110197485">Suzy</a>: Wednesday, 12 pm - 1pm</p> </section> <section id=class-time > <h2 id=class-time >Class Time<a class=headerlink  href="#class-time" title="Permalink to this headline">¶</a></h2> <p>Class will be Tuesdays and Thursdays from 1:25pm-2:40pm (EDT).</p> <table> <colgroup> <col style="width: 18%"/> <col style="width: 35%"/> <col style="width: 41%"/> <col style="width: 6%"/> <thead> <tr class=row-odd ><th class=head ><p>Date, Rm</p> <th class=head ><p>Topic</p> <th class=head ><p>Do Before Class</p> <th class=head ><p>In-Class Exercise</p> <tr class=row-even ><td><p>Tues, Aug 29</p> <td><ul class=simple > <li><p>Class Introduction</p> <li><p>Welcome to VS Code</p> </ul> <td><ul class=simple > <li><p><strong>SETUP 1:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_python.html">Installing Python and miniconda</a></p> <li><p><strong>SETUP 2:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_vscode.html">Installing and Configuring VS Code</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/99_advice/llms.html">chatGPT and You</a></p> </ul> <td> <tr class=row-odd ><td><p>Thurs, Aug 31</p> <td><ul class=simple > <li><p>Command Line Basics</p> </ul> <td><ul class=simple > <li><p><strong>SETUP 3:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/setup_augmented_commandline.html">Setup Augmented Command Line</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/10_commandline/commandline_part1.html">Command Line Basics</a></p> <li><p><a class="reference external" href="https://github.com/nickeubank/practicaldatascience/raw/master/syllabus/Syllabus_PracticalDataScience.pdf">Read and sign syllabus</a></p> <li><p><a class="reference external" href="https://uma.pop.umn.edu/usa/user/new">Register with IPUMS</a></p> <li><p><a class="reference external" href="https://www.datacamp.com/home">Register for DataCamp</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_CommandLine_1_Basics.html"><span class=doc >Ex</span></a></p> </ul> <tr class=row-even ><td><p>Fri, Sep 1</p> <td><p><strong>SOFTWARE INSTALL DAY</strong></p> <td><p>A day of trouble shooting install issues</p> <td> <tr class=row-odd ><td><p>Tues, Sep 5</p> <td><ul class=simple > <li><p>Advanced Command Line</p> <li><p>Git</p> <li><p>Packages</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/10_commandline/commandline_part2.html">Advanced Command Line</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/30_managing_python_packages.html">Python packages</a></p> <li><p><a class="reference internal" href=git_and_github.html ><span class=doc >Git and Github</span></a></p> <li><p><a class="reference external" href="https://learngitbranching.js.org/">Visualize Git Branches</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_CommandLine_2_Advanced.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_git.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 7</p> <td><ul class=simple > <li><p>Git Continued</p> <li><p>Jupyter</p> </ul> <td><ul class=simple > <li><p>Oopsie Resource: <a class="reference external" href="https://ohshitgit.com/">Oh 💩, Git!</a></p> <li><p><a class="reference external" href="https://xkcd.com/1597/">The secret of git</a></p> <li><p><strong>SETUP 4:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/jupyter_in_vscode.html">Jupyter in VS Code</a></p> <li><p><strong>OPTIONAL SETUP:</strong> <a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/00_setup_env/jupyter_r_notebooks.html">R Jupyter Notebooks</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_jupytervscode.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_git_2.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 12</p> <td><ul class=simple > <li><p>Python Debugger</p> <li><p>R / Python Differences</p> <li><p>Packages</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://www.youtube.com/watch?v=JD8BrXXNtjA">What are Tracebacks?</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/10_debugging_principles.html">Debugging Tools</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/20_debugging_in_vscode.html">Python Debugger in VS Code</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/vars_v_objects.html">variables v objects</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/python_v_r.html">Python v. R</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_debugger.html"><span class=doc >Ex 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_variables_v_objects.html"><span class=doc >Ex 2</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 14</p> <td><ul class=simple > <li><p>Numpy Basics</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_2/10_why_numpy.html">Why numpy? through Vector Subsetting Recap, SKIP Speed/Ease of Use Tradeoff and Vectorization</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_numpy_vectors.html"><span class=doc >Ex 1</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 19</p> <td><ul class=simple > <li><p>Numpy Arrays</p> </ul> <td><p><strong>More Numpy Concepts:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/10_views_and_copies.html">Views and Copies</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/11_when_do_I_get_a_view.html">When Do I Get a View</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/13_objects_and_variables.html">Variables, Objects, and Numpy</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/12_views_and_copies_recap.html">Views and Copies Recap</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/ints_and_floats.html">Numbers in Computer</a></p> </ul> <p><strong>Matrices:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/00_welcome_to_week_3.html">Matrices — From Welcome through Review of Matrices</a> (<em>see navigation bar on left</em>)</p> </ul> <p><strong>ND Arrays:</strong></p> <ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/40_nd_arrays.html">Arrays — From Welcome through Color Images as Arrays</a> (<em>see navigation bar on left</em>)</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_numpy_viewcopies.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 21</p> <td><ul class=simple > <li><p>Pandas: Series</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/10_speed_and_ease_of_use.html">Speed / Ease of Use Tradeoff</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/11_vectorization.html">Vectorization</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/00_intro_to_pandas.html">Pandas: From Working with Tabular Data through Subsetting and Indexing with Single Square Brackets</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_series.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Sep 26</p> <td><ul class=simple > <li><p>Pandas: DataFrames</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/30_pandas_dataframes.html">Pandas DataFrames</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/35_pandas_dataframe_gotchas.html">Pandas DataFrame Gotchas</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/50_pandas_pyarrow.html">PyArrow Backend</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_dataframes.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Sep 28</p> <td><ul class=simple > <li><p>Pandas: Indices &amp; Missing</p> </ul> <td><ul class=simple > <li><p>WM pp 136-142 (Indices, Section 5.2 up to MultiIndexes)</p> <li><p><a class="reference external" href="https://jakevdp.github.io/PythonDataScienceHandbook/03.04-missing-values.html">Handling Missing Data</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/10_views_and_copies_numpy_review.html">Views and Copies in Pandas through the View/Copy Headache without CoW</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_2/50_pandas_pyarrow.html">If you didn’t read Tuesday: PyArrow Backend</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_indices.html"><span class=doc >Link 1</span></a></p> <li><p><a class="reference internal" href="exercises/Exercise_missing.html"><span class=doc >Link 2</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 3</p> <td><ul class=simple > <li><p>Pandas: Cleaning</p> <li><p>Tracebacks</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/00_plaintext_files.html">Reading and Writing Data (plaintext AND binary)</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_3/20_cleaning_identifying.html">Data Cleaning (through the missing data subsection on left side bar)</a></p> <li><p><a class="reference external" href="https://realpython.com/python-data-types/#strings">Python Strings (string section only!)</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_cleaning.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 5</p> <td><ul class=simple > <li><p>Merging</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_4/00_intro_to_querying_data.html">Data Manipulations, Concatenating and Merging (NOT grouping or querying subsections on left navigation)</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_merging.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 10</p> <td><ul class=simple > <li><p>Plotting</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_2/10_plotting_in_python.html">Plotting in Python through seaborn and Grammer of Graphics</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_plotting_part1.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 12</p> <td><p><strong>FALL BREAK</strong></p> <td> <td> <tr class=row-odd ><td><p>Tues, Oct 17</p> <td><p><strong>FALL BREAK</strong></p> <td> <td> <tr class=row-even ><td><p>Thurs, Oct 19</p> <td><ul class=simple > <li><p>Plotting</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_5/45_plotting_with_matplotlib.html">Matplotlib</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_5/week_5/46_making_plots_pretty.html">Making Pretty Plots</a></p> <li><p><a class="reference external" href="https://seaborn.pydata.org/generated/seaborn.objects.Plot.on.html">Convert seaborn.objects to matplotlib axes</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_plotting_part2.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Oct 24</p> <td><ul class=simple > <li><p>Big Data: What is it, how do I work with it?</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/10_big_data_what_is_it.html">What is Big Data?</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/20_big_data_strategies.html">Strategies for Big Data</a></p> <li><p>Download the dataset linked at the top of the linked exercise before class.</p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/30_parquet.html">Parquet Format</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_bigdata.html"><span class=doc >Ex</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Oct 26</p> <td><ul class=simple > <li><p>Defensive Programming</p> <li><p>Workflow</p> <li><p>Backwards Design</p> <li><p>Getting Help Online</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/workflow.html">Workflow Management</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/backwards_design.html">Backwards Design</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/getting_help.html">Getting Help</a></p> <li><p><a class="reference external" href="https://github.com/nickeubank/practicaldatascience/blob/master/opioid_project/PDS_ProjectSummary.pdf">Opioid Project</a></p> </ul> <td> <tr class=row-odd ><td><p>Tues, Oct 31</p> <td><ul class=simple > <li><p>Defensive Programming</p> <li><p>Groupby / Split-Apply-Combine</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/defensive_programming.html">Defensive Programming</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/iceberg_principle.html">Iceberg Principle</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_3/week_4/20_grouping.html">Groupby</a></p> <li><p>WM pp Chpt 10, 10.1, 10.2, 10.3</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_groupby.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Nov 2</p> <td><ul class=simple > <li><p>Pandas: Reshaping</p> <li><p>Pandas: Categoricals</p> </ul> <td><ul class=simple > <li><p>WM 8.3</p> <li><p><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html">Pandas reshaping (with pics!)</a></p> <li><p><a class="reference external" href="http://vita.had.co.nz/papers/tidy-data.html">What is goal of reshaping?</a></p> <li><p>Categoricals: WM 12.1</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_reshaping.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Nov 7</p> <td><ul class=simple > <li><p>Speed and Performance in Python</p> </ul> <td><ul class=simple > <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_4/10_speed_and_ease_of_use.html">Understanding Performance</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/30_big_data/50_performance_solutions.html">Improving Performance</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/object_vectors.html">Object dtypes</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/PDS_not_yet_in_coursera/20_programming_concepts/pr_review.html">Code Reviews</a></p> <li><p><strong>Project Strategy Plan Due</strong></p> </ul> <td> <tr class=row-even ><td><p>Thurs, Nov 9</p> <td><ul class=simple > <li><p>Statistics with statsmodels</p> </ul> <td><ul class=simple > <li><p>WM, 3rd Edition, Chapter 12, 12.1, 12.2, 12.3 (Patsy and statsmodels, not scikit-learn)</p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/regression.html">Skim “Linear Models”</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/discretemod.html">Skim “Discrete Dep Var Models”</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/examples/notebooks/generated/regression_diagnostics.html">Regression Diagnostics</a></p> <li><p><a class="reference external" href="https://www.statsmodels.org/stable/examples/notebooks/generated/regression_plots.html">Regression Plots</a></p> <li><p><a class="reference external" href="https://patsy.readthedocs.io/en/latest/R-comparison.html">Patsy: Differences from R</a></p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_statsmodels.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-odd ><td><p>Tues, Nov 14</p> <td><ul class=simple > <li><p>Machine Learning with sckikit-learn</p> </ul> <td><ul class=simple > <li><p>JVP Chapter 5 up to “Hyperparameters and Model Validation” Section (pp 331 - 359)</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href="exercises/Exercise_sklearn.html"><span class=doc >Link</span></a></p> </ul> <tr class=row-even ><td><p>Thurs, Nov 16</p> <td><ul class=simple > <li><p>Defining Your Own Estimators</p> <li><p>Regex</p> </ul> <td><ul class=simple > <li><p>Review linear regression as matrix manipulations. <a class="reference external" href="https://www.stat.purdue.edu/~boli/stat512/lectures/topic3.pdf">Here’s a nice review.</a></p> <li><p><a class="reference external" href="https://realpython.com/python3-object-oriented-programming/">Review how to define classes</a></p> <li><p><a class="reference external" href="https://nickeubank.github.io/practicaldatascience_book/notebooks/class_2/week_3/41_broadcasting.html#a-common-gotcha-narrow-matrices-v-1-dimensional-vectors">Broadcasting Gotchyas</a></p> </ul> <td> <tr class=row-odd ><td><p>Tues, Nov 21</p> <td><p>No Class</p> <td> <td> <tr class=row-even ><td><p>Thurs, Nov 23</p> <td><p>THANKSGIVING</p> <td> <td> <tr class=row-odd ><td><p>Tues, Nov 28</p> <td><ul class=simple > <li><p>Parallelism</p> <li><p>Distributed Computing</p> </ul> <td><ul class=simple > <li><p><a class="reference internal" href=parallelism.html ><span class=doc >Parallel Computing</span></a></p> <li><p><a class="reference internal" href=distributed_computing.html ><span class=doc >Distributed Computing with dask</span></a></p> </ul> <p>(Note reading includes a 45 minute video to watch) <strong>Optional:</strong> - <strong>Opioid Project Rough Draft Due</strong></p> <td> <tr class=row-even ><td><p>Thurs, Nov 30</p> <td> <td> <td> <tr class=row-odd ><td><p>Wed Dec 13</p> <td> <td><p><strong>Final Project Report and Presentation Due</strong></p> <td> </table> </section> </section> </article> </div> </div> </main> </div> <footer class=md-footer > <div class=md-footer-nav > <nav class="md-footer-nav__inner md-grid"> <a href=index.html  title="Hello!" class="md-flex md-footer-nav__link md-footer-nav__link--prev" rel=prev > <div class="md-flex__cell md-flex__cell--shrink"> <i class="md-icon md-icon--arrow-back md-footer-nav__button"></i> </div> <div class="md-flex__cell md-flex__cell--stretch md-footer-nav__title"> <span class=md-flex__ellipsis > <span class=md-footer-nav__direction > "Previous" </span> Hello! </span> </div> </a> <a href=autograder_guidelines.html  title="Guidelines for Using the Gradescope Autograder" class="md-flex md-footer-nav__link md-footer-nav__link--next" rel=next > <div class="md-flex__cell md-flex__cell--stretch md-footer-nav__title"><span class=md-flex__ellipsis > <span class=md-footer-nav__direction > "Next" </span> Guidelines for Using the Gradescope Autograder </span> </div> <div class="md-flex__cell md-flex__cell--shrink"><i class="md-icon md-icon--arrow-forward md-footer-nav__button"></i> </div> </a> </nav> </div> <div class="md-footer-meta md-typeset"> <div class="md-footer-meta__inner md-grid"> <div class=md-footer-copyright > <div class=md-footer-copyright__highlight > &#169; Copyright 2021, Nick Eubank. </div> Created using <a href="http://www.sphinx-doc.org/">Sphinx</a> 4.5.0. and <a href="https://github.com/bashtage/sphinx-material/">Material for Sphinx</a> </div> </div> </div> </footer> <script src="_static/javascripts/application.js"></script> <script>app.initialize({version: "1.0.4", url: {base: ".."}})</script>
\ No newline at end of file
diff --git a/source/class_schedule.csv b/source/class_schedule.csv
index f8a0ce8..6a5d985 100644
--- a/source/class_schedule.csv
+++ b/source/class_schedule.csv
@@ -102,7 +102,7 @@
 - `Regression Diagnostics <https://www.statsmodels.org/stable/examples/notebooks/generated/regression_diagnostics.html>`_
 - `Regression Plots <https://www.statsmodels.org/stable/examples/notebooks/generated/regression_plots.html>`_
 - `Patsy: Differences from R <https://patsy.readthedocs.io/en/latest/R-comparison.html>`_",- `Link <exercises/Exercise_statsmodels.ipynb>`_
-"Tues, Nov 14",- Machine Learning with sckikit-learn,"- JVP Chapter 5 up to ""Hyperparameters and Model Validation"" Section (pp 331 - 359)",
+"Tues, Nov 14",- Machine Learning with sckikit-learn,"- JVP Chapter 5 up to ""Hyperparameters and Model Validation"" Section (pp 331 - 359)",- `Link <exercises/Exercise_sklearn.ipynb>`_
 "Thurs, Nov 16","- Defining Your Own Estimators
 - Regex","- Review linear regression as matrix manipulations. `Here's a nice review. <https://www.stat.purdue.edu/~boli/stat512/lectures/topic3.pdf>`_
 - `Review how to define classes <https://realpython.com/python3-object-oriented-programming/>`_
diff --git a/source/class_schedule_xlsx.xlsx b/source/class_schedule_xlsx.xlsx
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