Module 3: Data Mining

Chapter 1: Getting Started with Data Mining

Q1

2

Q2

1

Q3

4

Chapter 2: Classifying with scikit-learn Estimators

Q1

3

Q2

2

Q3

2

Q4

3

Chapter 3: Predicting Sports Winners with Decision Trees

Q1

2

Q2

1

Chapter 4: Recommending Movies Using Affinity Analysis

Q1

4

Chapter 5: Extracting Features with Transformers

Q1

2

Q2

3

Q3

3

Chapter 6: Social Media Insight Using Naive Bayes

Q1

2

Q2

2

Chapter 7: Discovering Accounts to Follow Using Graph Mining

Q1

2

Chapter 8: Beating CAPTCHAs with Neural Networks

Q1

3

Chapter 9: Authorship Attribution

Q1

2

Q2

1

Chapter 10: Clustering News Articles

Q1

3

Q2

2

Q3

3

Chapter 11: Classifying Objects in Images Using Deep Learning

Q1

3

Q2

2

Chapter 12: Working with ...

Get Python: Real-World Data Science now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.