/Machine-Learning-Algorithms

All Machine Learning Algorithms

Primary LanguageJupyter Notebook

Machine-Learning-Algorithms

Codes for all Machine Learning Algorithms

How To Proceed?

  • Create a folder for the algorithm (if it does not exist already),for example for Multiple Linear Regression Code create a folder named Regression
  • Create a subfolder with the name of the algorithm ( In this case Multiple Linear Regression)
  • Add the code into the respective folder.
  • Add the dataset which is being used.
  • Add a md file with the same name which contains the steps to run your code .

Algorithms

Following Machine Learning Algorithm are available in this repository

  • Clustering-KMeans
  • Logistic Regression
  • Support Vector Machine
  • Random Forest
  • Naive Bayes Classifier
  • KNN
  • ID3
  • Kernel Principal Component Analysis
  • Neural Network (one hidden layer)
  • Dimensionality Reduction - Principal Component Analysis(PCA)
  • Dimensionality Reduction - Linear Discriminant Analysis(LDA)