Intermediate

Machine Learning
- Supervised, unsupervised, and reinforcement learning.
- Python libraries like Scikit-learn, TensorFlow, and Keras.
- Model Building
- Data Preprocessing
- Algorithms: Learn linear regression, decision trees, and clustering.
- Real-World Applications: Implement ML in projects like recommendation systems.
Curriculum
- 120h Duration