Practical Machine Learning with Python : A Problem-Solver's Guide to Building Real-World Intelligent Systems / Dipanjan Sarkar, Raghav Bali, Tushar Sharma.
By: Sarkar, Dipanjan [author.]
.
Contributor(s): Bali, Raghav [author.]
| Sharma, Tushar [author.]
.
Material type: 


Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
![]() |
Main Library Main Stacks | 006.31 S.D. P 2018 (Browse shelf) | Available | 00018414 |
Includes index.
Chapter 1: Machine Learning Basics -- Chapter 2: The Python Machine Learning Ecosystem -- Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection -- Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends -- Chapter 7: Analyzing Movie Reviews Sentiment -- Chapter 8: Customer Segmentation and Effective Cross Selling -- Chapter 9: Analyzing Wine Types and Quality -- Chapter 10: Analyzing Music Trends and Recommendations -- Chapter 11: Forecasting Stock and Commodity Prices -- Chapter 12: Deep Learning for Computer Vision
There are no comments for this item.