Basics of Data Analytics
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Introduction
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Fundamentals
Introduction
1. Artificial intelligence and machine learning
2. Linear regression at work
3. Introduction to overfitting and cross-validation
4 lessons, 3 quizzes
Approaches
Introduction
1. Overview of other supervised approaches (1)
2. Overview of other supervised approaches (2)
3. k-NN, clustering, simulated and real data
Course evaluation
5 lessons, 3 quizzes
