ML_stuff

Miscellaneous Jupyter notebooks.

confidence_intervals.ipynb – a notebook illustrating different approaches to constructing confidence intervals, as shown on the Iris dataset and a decision tree classifier;
confidence_intervals_experiment.py – a Python script to test a confidence interval on a synthetic dataset, repeating many times with different random seeds for dataset generation;
deepdream.ipynb – some experiments with the DeepDream technology (visialization of the patterns a neural network "sees" in an image);
Introduction_to_Graph_Neural_Nets_with_JAX_jraph.ipynb;
Jax_Basics.ipynb;
multicollinearity_visualisation.ipynb – a notebook illustrating different ways to visualize multicollinearity on a dataset with a large amount of features;
plotly_basics.ipynb – some graphs made with Plotly;
sampling_with_replacement.ipynb – a notebook illustrating sampling with replacement;
supervised_clustering.ipynb – a notebook illustrating supervised clustering with SHAP values.

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Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
Introduction_to_Graph_Neural_Nets_with_JAX_jraph.ipynb		Introduction_to_Graph_Neural_Nets_with_JAX_jraph.ipynb
Jax_Basics.ipynb		Jax_Basics.ipynb
README.md		README.md
Time_series.ipynb		Time_series.ipynb
confidence_intervals.ipynb		confidence_intervals.ipynb
confidence_intervals_experiment.py		confidence_intervals_experiment.py
deepdream.ipynb		deepdream.ipynb
multicollinearity_visualization.ipynb		multicollinearity_visualization.ipynb
plotly_basics.ipynb		plotly_basics.ipynb
sampling_with_replacement.ipynb		sampling_with_replacement.ipynb
supervised_clustering.ipynb		supervised_clustering.ipynb