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diff --git a/day2.3_machine_learning/readme.md b/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.
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+You can download the slides [here](Machine_Learning.pdf).
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diff --git a/day3.1_explorative_data_science/0_raw_data_preparation.ipynb b/day3.1_explorative_data_science/0_raw_data_preparation.ipynb
diff --git a/day3.1_explorative_data_science/1_data_prep_segment_dapi_batch_process.ipynb b/day3.1_explorative_data_science/1_data_prep_segment_dapi_batch_process.ipynb
diff --git a/day3.1_explorative_data_science/2_data_prep_segment_actin_batch_process.ipynb b/day3.1_explorative_data_science/2_data_prep_segment_actin_batch_process.ipynb
diff --git a/day3.1_explorative_data_science/3_data_prep_segment_tubulin_batch_process.ipynb b/day3.1_explorative_data_science/3_data_prep_segment_tubulin_batch_process.ipynb
diff --git a/day3.1_explorative_data_science/4_data_prep_quantitative_measurements_extraction.ipynb b/day3.1_explorative_data_science/4_data_prep_quantitative_measurements_extraction.ipynb
diff --git a/....1_explorative_data_science/5_Interactive_features_exploration_dim_red_one_compound.ipynb b/....1_explorative_data_science/5_Interactive_features_exploration_dim_red_one_compound.ipynb