Here are few key algorithms implementation in R
- Linear Regression
- Logistic Regression
- Decision Trees
- Market Basket Analysis
- Sentiment Analysis
If you are not familiar with logistics regression, please read this article first. Moreover, if you are not familiar with the sklearn machine learning model building process, please read this article also.
Assuming you are now familiar, this is how you can build a logistic regression model in Python using machine learning library Scikit. Please read here about the dataset and dummy coding.