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A project of IOSD Summer of Code 2019, a machine learning framework (python library) with basic support for ML algorithms

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Learn 'Em All

Learn 'Em All is a machine learning framework (python library) with basic support for ML algorithms

Table of Contents

Features of Framework

  • ML Algoritms to include
    • Naive Bayes Classifier
    • Linear SVMs
    • Decision Tree Classifier
    • K-nearest neighbor Classifier
    • Random Forest Classifier
    • Linear Regression
    • Logistic Regression
    • K-means clustering
  • Easily downloadable
  • Easily importable

Stack

The recommended stack for the project is

  • Python 3
  • Numpy
  • Pandas
  • Matplotlib

Contribution Guidelines

  • Read the guidelines before starting contributing or creating the project.
  • Follow the given PR template to contribute to the project.

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Learn'em all

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A project of IOSD Summer of Code 2019, a machine learning framework (python library) with basic support for ML algorithms

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  • Jupyter Notebook 58.1%
  • Python 41.9%