Machine Learning Introduction
Lesson Material
Welcome to Machine Learning! Learn what ML is, types of learning (supervised, unsupervised, reinforcement), real-world applications, and setting up Python environment with Anaconda, Jupyter Notebook, and essential libraries.
Course Content
8 Lessons
1
Machine Learning Introduction
2
Data Preprocessing
3
Regression: Linear & Multiple
4
Classification: Logistic Regression
5
Decision Trees & Random Forest
6
Clustering: K-Means & Hierarchical
7
Natural Language Processing (NLP)
8
Model Evaluation & Selection
Instructor: Kirill Eremenko
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