Set of useful tools for machine learning projects

(show me the code...)

(Show me the code...)

Take a look here for more useful code examples

utils for easier skitlearn classifier handling

• ModelUtils

utils for easier skitlearn linear models handling

• LinearModelUtils

My toolbox of useful plots classes.

• DataPlots - plots for data exploration
• EvaluationPlots - Plots that helps to evaluate models
• VisPlotPlayGround

##CommonFeatureEngineering drop list of columns, fillna using smarter functions, map columns values in one line and more goodies..

• DataFrameManipulation

• DatasetsTools

utils for easier skitlearn classifier handling

Useful method for classifications : Utils for easier skitlearn classifier handling:

• split_and_train
• test_model
• but you might want to use:
  • split_data_to_train_test
  • train_model

Plots for data exploration:

• colored_scatter - Plot scatter of x vs y with color of third element
• colored_scatter_matrix - A matrix of colored_scatter

Plots which helps to evaluate models

• predicted_vs_actual - This method creates sctter plot of predicted values vs the actual valus.
• plots a confusion matrix. Normalization can be applied

playground for visualization (color map and more...)

• show_colormap - Show the gradiant of cmap
• grayify_cmap - Return a grayscale version of the colormap

mainly for unittests and demos

easyier skitlearn dataset exploration mainly for unittests and demos

• data_as_df