https://github.com/py4mac/approaching-any-ml-problem
Study of "Approaching-any-ml-problem" book
https://github.com/py4mac/approaching-any-ml-problem
machine-learning python pytorch
Last synced: 3 months ago
JSON representation
Study of "Approaching-any-ml-problem" book
- Host: GitHub
- URL: https://github.com/py4mac/approaching-any-ml-problem
- Owner: py4mac
- Created: 2020-11-18T06:21:44.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-01-16T11:00:21.000Z (over 5 years ago)
- Last Synced: 2025-11-29T22:40:36.078Z (7 months ago)
- Topics: machine-learning, python, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 320 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Study of "Approaching-any-ml-problem" book
On-going study of "Approaching (Almost) Any Machine Learning Problem" book
## Credits
**Abhishek Thakur**
## Chapters
- [x] Supervised & unsupervised learning
- [x] Cross Validation
- [x] Evaluation Metrics
- [x] Arranging machine learning projects
- [x] Approaching categorical variables
- [x] Feature engineering
- [x] Feature selection
- [x] Hyperparameter Optimization
- ([ ] Approaching image classification & segmentation - NOT COVERED)
- [x] Approaching text classification/regression
- [x] Approaching ensembling & stacking
- ([ ] Approaching reproducible code & model serving - ALREADY COVERED)
## Notes
* Sparse matrix explanation: https://dziganto.github.io/Sparse-Matrices-For-Efficient-Machine-Learning/