Machine Learning
- The Fundamentals of Machine Learning
- The Machine Learning Landscape
- End-to-End Machine Learning Project-
Prepare the Data for Machine Learning Algorithms-
Select and Train a Model-
Fine-Tune Your Model-
-Launch, Monitor, and Maintain Your System
- Classification
- Regression
- Support Vector Machines
- Decision Trees
- Ensemble Learning and Random Forests
- Dimensionality Reduction
- Unsupervised Learning Techniques
- Introduction to Artificial Neural Networks
- Processing Sequences Using RNNs