ksashok / machine-learning-algorithms

Trying to create machine learning algorithms in R from scratch without calling the libraries

Machine-Learning-Algorithms

Regression

• Linear Regression by Normal Equation

• Linear Regression by Batch Gradient Descent

• K Nearest Neighbor Regression (KNN Regression)

Other Algorithms

• One Hot Encoding
• TF-IDF

I'll keep adding new algorithms as I learn.

machine-learning-algorithms's Issues

Please add your Machine Learning Algorithm from scratch in R

You can add your implementation from scratch for the Machine Learning algorithm you have done in R.

• Star this repository using 'Star' button on the top.
• Click on Fork Repository using the 'Fork' button on the top.
• Clone the forked repository on your PC. Using this command on your Git bash or any terminal with git support : git clone url
• Now create a new branch with this command: git branch branchname and then use that branch by - this command: git checkout branchname.
• Create your algorithm as a seperate .R file by following the structure Algorithm/Implementation.R
  For example Linear Regression/Linear_Regression_Batch_GD.R
• After making changes use this command to add the changes: git add filename, and then git commit -m "message here".
• After that use this command: git push origin branchname.
• Create a pull request, and wait for Pull Request to get merged.