data_science_python_packages

A repo containing my python packages for cases I used in the past

distribution_distance

A Python package to calculate KL divergence, PSI values and group entities with the same distribution probabilities. A jupyter notebook is provided in the folder jupyter_notebooks for an example of using PSI values and group entities within a certain threshold.

package_hp_opti

A Python package to do hyper-parameter optimization : random search , grid search and bayesian optimization.

package_interpretability

A Python package to interpret samples for anomaly detection with autoencoders and calculate weighted similarities (based on feature importance) for samples.

package_model_comparing

A Python package for a pipeline to compare between classification models and regression models.

package_plot

A Python package containing simple plots.

package_processing

A Python package to do some transformations, like polynomial transformation, power transformation, IQR ...