Lectures
- Lecture 1: Basic definitions. Introduction to R and RStudio.
- Lecture 2: Getting Data. Exploratory Data Analysis.
- Lecture 3: Review and Conclusions.
- Lecture 4: Other Machine Learning Methods. Practice.
- Lecture 5: Model Building for Prediction. Linear Regression.