Data Science from Scratch: First Principles with Python
Material type:
- 9789352138326
- 005.7565 GRU
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 005.7565 GRU (Browse shelf(Opens below)) | Checked out | 03/10/2025 | M0036277 |
1. Introduction
2. A Crash Course in Python
3. Visualizing Data
4. Linear Algebra
5. Statistics
6. Probability
7. Hypothesis and Inference
8. Gradient Descent
9. Getting Data
10. Working with Data
11. Machine Learning
12. k-Nearest Neighbors
13. Naive Bayes
14. Simple Linear Regression
15. Multiple Regression
16. Logistic Regression
17. Decision Trees
18. Neural Networks
19. Deep Learning
20. Clustering
21. Natural Language Processing
22. Network Analysis
23. Recommender Systems
24. Databases and SQL
25. Map Reduce
26. Data Ethics
27. Go Forth and Do Data Science
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