1-Supervised Learning with scikit-learn
2-Unsupervised Learning in Python
3-Linear Classifiers in Python
4-Machine Learning with Tree-Based Models in Python
5-Extreme Gradient Boosting with XGBoost
6-Cluster Analysis in Python
7-Dimensionality Reduction in Python
8-Preprocessing for Machine Learning in Python
9-Machine Learning for Time Series Data in Python
10-Feature Engineering for Machine Learning in Python
11-Model Validation in Python
12-Machine Learning Fundamentals in Python
13-Introduction to Natural Language Processing in Python
14-Feature Engineering for NLP in Python
15-Introduction to TensorFlow in Python
16-Introduction to Deep Learning in Python
17-Introduction to Deep Learning with Keras
18-Advanced Deep Learning with Keras
19-Image Processing in Python
20-Image Processing with Keras in Python
21-Hyperparameter Tuning in Python
22-Introduction to PySpark
23-Machine Learning with PySpark