Python code on various machine learning models, loosely based on Andrew Ng's course.
The topics included are
- Simple Linear Regrssion (EX1)
- Multiple Linear Regression (EX1)
- Logistic Regression (EX2)
- Polynomial Features & Shrinkage Method (EX2)
- Multiclass Logistic Regression (EX3)
- Neural Network (EX4)
- Bias Variance Trade Off (EX5)
- Support Vector Machine (EX6)
- Spam filter using SVM (EX6)
- Principle Component Analysis (EX7)
- k-Mean Clusturing (EX7)
- Anomaly Detection (EX8)
- Recommender System (EX8)