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haesleinhuepf authored Jul 15, 2024
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9 changes: 9 additions & 0 deletions _toc.yml
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- caption: Wednesday
chapters:
- file: day3.1_explorative_data_science/readme.md
sections:
- file: day3.1_explorative_data_science/0_raw_data_preparation.ipynb
- file: day3.1_explorative_data_science/1_data_prep_segment_dapi_batch_process.ipynb
- file: day3.1_explorative_data_science/2_data_prep_segment_actin_batch_process.ipynb
- file: day3.1_explorative_data_science/3_data_prep_segment_tubulin_batch_process.ipynb
- file: day3.1_explorative_data_science/4_data_prep_quantitative_measurements_extraction.ipynb
- file: day3.1_explorative_data_science/5_Interactive_features_exploration_dim_red_one_compound.ipynb
- file: day3.1_explorative_data_science/6_Interactive_dim_red_and_clustering_comparing_compounds.ipynb

- file: day3.2_data_visualization/readme.md
- file: day3.3a_basic_plotting/readme.md
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3 changes: 3 additions & 0 deletions day2.3_machine_learning/readme.md
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# Machine Learning

In this session we will use machine learning techniques, random forest classifiers in particular, to classify pixels, segment objects and classify them.

You can download the slides [here](Machine_Learning.pdf).

1,375 changes: 1,375 additions & 0 deletions day3.1_explorative_data_science/0_raw_data_preparation.ipynb

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