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Machine_Learning_Chilla_with_Baba_Aammar

Machine Learning

Student Details

Overview

This repository contains practice materials on Machine Learning with Python, used to deliver online training course. The course was sponsered by codenics and Scholership Network. Pakistan This course is for everyone who want to make their carrer in Machine Learning. The instructor was Dr. Ammar Tufail.

Objectives:

  1. Expand the cohort Students with intermediate-level Python skills;
  2. Contribute to quality of Data Scientist Resources in Pakistan;
  3. Non computer back ground can expand the Machine Learning Algorithms for their Papers using different libraries and modeling.

Prerequisites and format: Basic of Python programming language and Pandas, Numpy matplot experience is needed. The sessions will comprise short lecture-style teaching by the instructor, Interactive session and assignmnets session where every participants write code on their own laptops and show thier output.

Participant outcomes: With no coding knowledge before the course, participants should be able to access and combine a diverse set of datasets, conduct data exploration and visualization, utilize Python libraries for demographic, image data and machine learning, and be able to self-teach next steps in their specialized domain.

Project work

To gain credit, participants are required to submit a complete set of assignments, notebooks compiled in one file or should be in detailed projects groups. The format is a Jupyter Notebook/PDF. The notebook should ingest, analyze and visualize data using Python, to address the real understaing of the students and need of the participant's.

Running the scripts

Two methods:

  • Beginner method: Click the links to 'open notebook in Colab.' (no software installation required)
  • Preferred method: Install Anaconda Navigator from the software catalogue on eServices. Download the scripts (or clone the repository with Git) and load the notebooks (.ipynb files) in Jupyter Notebooks on your laptop.
  • Preferred method: After cloning open the terminal and run the below command if you are able to do it. Other wise install it manually.

How To Make Vir-Enviroment using conda

conda create -n ml-chilla python=3.6
conda activate ml-chilla

Install the required libraries by using folllowing commands.

pip install -r /path/to/requirements.txt

Course Schedule

The course Started on 11th March 2022, Frinday Night on 9.30pm.

  1. Fall 2022 8-week course
  2. 11th March 2022 40-days course
  3. Note: The Week will be 5 Days in this Chilla
Week Mode Topics
Week 1 Zoom Installation of VS Code, First Line of code, Libraries, Python syntax, intro to control flow including Weekly Workshop.
  • Materials in the repos can be freely with credit and giving start and fork operation.
  • This Repo will be refine with time.

Materials developed by

Ali Nawaz