Compliation of code snippets for ML using Python and R. These are based on my learning from several online courses.
Repository is further divided into different sections. Each section contains files relevant to the topic alongside a summary readme file.
- Data Preprocessing
- Regression
- Classification
- Clustering
- Associate Rule Learning
- Reinforcement Learning
- Natural Language Processing
- Deep Learning
- Dimensionality Reducation
- Model Selection
Sample data and directory structure is from Machine Learning AZ Udemy course.
Happy learning 😊