MachineLearningUtils

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Set of useful tools for machine learning projects

Teasing examples:

Plots

UsefulPlots.DataPlots.colored_scatter_matrix:

(show me the code...)

UsefulPlots.EvaluationPlots.confusion:

(Show me the code...)

Take a look here for more useful code examples

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ModelUtils

utils for easier skitlearn classifier handling

classes:

• ModelUtils

LinearModelUtils

utils for easier skitlearn linear models handling

classes:

• LinearModelUtils

UsefulPlots

My toolbox of useful plots classes.

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..

classes:

• DataFrameManipulation

DatasetsTools

classes:

• DatasetsTools

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What inside the modules...

module ModelUtils

class ModelUtils

utils for easier skitlearn classifier handling

module ModelUtils

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

module UsefulPlots

class DataPlots

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

class EvaluationPlots

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

class VisPlotPlayGround

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

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

module DatasetsTools

mainly for unittests and demos

class DatasetsTools

easyier skitlearn dataset exploration mainly for unittests and demos

• data_as_df