Data Science: Linear Regression is the seventh of nine courses for the Professional Certificate Program in Data Science taught by the famous Prof. of Biostatistics Rafael Irizarry from Harvard University through edX platform.
This course cover:
- The basics of machine learning
- How to perform cross-validation to avoid overtraining
- Several popular machine learning algorithms
- How to build a recommendation system
- What is regularization and why it is useful?
- Introduction to Machine Learning
- Machine Learning Basics
- Linear Regression for Prediction, Smoothing, and Working with Matrices
- Distance, Knn, Cross-validation, and Generative Models
- Classification with More than Two Classes and the Caret Package
- Model Fitting and Recommendation Systems
You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.
Please, don't fork or copy this repository.
The Data Science Professional Program offered by HavardX, is a very easy and straight forward path. Data Science is one of the hardest subfield of Computer Science and requires a lot of study and hard work.