This module covers the foundations of machine learning, from supervised learning to model evaluation techniques.
Key Topics:
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Semi Supervise
Mini Projects:
- Predictive Analytics
- Classification
- Anomaly Detection
- Recommendation
