README.md

Machine Learning

I will try to implement each of the following sections in Python and R.

Dataset belongs to Super Data Science (https://www.superdatascience.com/machine-learning)

Topics to be Coverered

• Regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Support Vector Regression
  • Decision Tree Regression
  • Random Forest Regression
• Classification
  • Logistic Regression
  • K-Nearest Neighbors
  • Support Vector Machine
  • Naive Bayes
  • Decision Tree Classification
  • Random Forest Classification
• Clustering
  • K-Means Clustering
  • Agglomerative Hierarchical Clustering
• Association Rule Learning
  • Apriori
  • Eclat
• Reinforcement Learning
  • Upper Confidence Bound
  • Thompson Sampling
• Natural Language Processing
• Deep Learning
  • Artificial Neural Networks
  • Convolutional Neural Networks
• Dimensionality Reduction
• Model Selection and Boosting