Table of Contents
- Introduction to Python Programming
- Python for Machine Learning
- Introduction to Machine Learning
- Supervised Learning and Unsupervised Learning
- Linear Regression: A Hands-on guide
- Logistic Regression – An Introduction
- A sneak peek into the working of Support Vector machines(SVM)
- Decision Trees
- Random Forests
- Time Series models in Machine Learning
- Introduction to Neural Networks
- Recurrent Neural Networks
- Convolutional Neural Networks
- Performance Metrics
- Introduction to Design Thinking
- Design Thinking Case Study