Introduction To Machine Learning
- What is M.L?
- Why M.L?
- Introduction to Supervised M.L
- Introduction to Unsupervised M.L
- Bias- Variance Dichotomy
- Cross-Validation, Area Under Curve
- Data Split and Hyper Parameter Tuning
- Feature Engineering
- Data Preprocessing
Supervised Machine learning Algorithms
- What is Regression?
- Different Types of Regression
- Linear Regression
- Goodness of Fit
- Multiple Linear regression
- Regularization- L1 and L2.
- Real-Time Mini Project on Regression