Practical Machine Learning with Python

Part I. Understanding Machine Learning

1. Machine Learning Basics
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

2. The Python Machine Learning Ecosystem
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

Part II. The Machine Learning Pipeline

3. Processing, Wrangling, and Visualizing Data
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

4. Feature Engineering and Selection
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

5. Building, Tuning, and Deploying Models
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

Part III. Real-World Case Studies

6. Analyzing Bike Sharing Trends
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

7. Analyzing Movie Reviews Sentiment
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

8. Customer Segmentation and Effective Cross Selling
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

9. Analyzing Wine Types and Quality
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

10. Analyzing Music Trends and Recommendations
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

11. Forecasting Stock and Commodity Prices
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

12. Deep Learning for Computer Vision
Dipanjan Sarkar, Raghav Bali, Tushar Sharma

Avainsanat: Computer Science, Computing Methodologies, Python, Open Source