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#100DaysofMLCode Challenege
Python R Rebol
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.github Create label.yml Jan 26, 2020
1_Introduction Rename HelloWorld.r to HelloWorld.R Jan 11, 2020
2_Data_Preprocessing Day 7 | Conclusion of Data Pre-processing Jan 17, 2020
3_Regression
4_Classification Day 28 | KNN Intution Feb 6, 2020
.gitignore Update .gitignore Jan 20, 2020
100Days_Log.md Day 27 | Logistic Regression in R Feb 5, 2020
CODE_OF_CONDUCT.md Create CODE_OF_CONDUCT.md Jan 26, 2020
CONTRIBUTING.md Create CONTRIBUTING.md Jan 11, 2020
LICENSE Initial commit Jan 11, 2020
README.md Day 28 | KNN Feb 6, 2020

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
  • K Nearest Neighbors Classification

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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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