Part 2: Python Ecosystem and Classical Machine Learning
Master the Python data science stack and classical machine learning algorithms including supervised and unsupervised learning.
Chapters in This Part
Chapter 4: Python Data Science Stack
NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization....
Beginner
120 min
Chapter 5: Supervised Learning Fundamentals
Linear regression, logistic regression, model evaluation, and cross-validation....
Beginner
Enthusiast
90 min
Chapter 6: Classification Algorithms
KNN, decision trees, SVMs, and Naive Bayes classifiers....
Enthusiast
Intermediate
90 min
Chapter 7: Ensemble Methods
Random forests, gradient boosting, XGBoost, and model stacking....
Intermediate
Advanced
105 min
Chapter 8: Unsupervised Learning
Clustering, dimensionality reduction, and anomaly detection....
Enthusiast
Intermediate
90 min