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#100DaysofMLCode Challenege
Python R Rebol
Branch: master
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README.md

#100DaysofMLCode Challenge

Table of Contents

1. Data Pre-processing

  • Importing Libraries
  • Importing Data sets
  • Handling the missing data values
  • Encoding categorical data
  • Split Data into Train data and Test data
  • Feature Scaling

2. Regression

  • Simple Linear Regression
  • Multi Linear Regression
  • Polynomial Regression
  • Support Vector Regression
  • Decision Tree Regression
  • Random Forest Regression

3. Classification

  • Logistic Regression

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How to Contribute

This is an open project and contribution in all forms are welcomed. Please follow these Contribution Guidelines

Code of Conduct

Adhere to the GitHub specified community code.

License

Check the official MIT License here.

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