Data Science & ML track

ML Fundamentals

Learning from data, bias-variance, generalization and the ML workflow.

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1

Machine Learning Introduction

Concept · Hands-on lab included

2

Training, Testing and Validation

Concept · Hands-on lab included

3

The Bias-Variance Tradeoff

Concept · Hands-on lab included

4

Cross-Validation

Concept · Hands-on lab included

5

Metrics and Evaluation

Concept · Hands-on lab included

6

Overfitting and Underfitting

Concept · Hands-on lab included

7

Model Selection and Tuning

Concept · Hands-on lab included

8

The Machine Learning Workflow

Concept · Hands-on lab included

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