Course Description:
- You will explore both supervised and unsupervised machine learning techniques. You’ll build and evaluate models using regression, classification, clustering, anomaly detection, recommender systems, and reinforcement learning. Includes practical programming assignments with Scikit-learn and neural-based systems
Course Main points:
- Regression
- Supervised vs unsupervised learning
- Gradient descent in practice
- Multiple linear regression
- Clustering
- Anomaly Detection
- Recommender systems implementation
- Reinforcement learning introduction
- State-action value function
Course Duration:
36 Hrs
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