https://github.com/randomicecube/ml-exercises
ML exercise resolutions
https://github.com/randomicecube/ml-exercises
Last synced: about 1 year ago
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ML exercise resolutions
- Host: GitHub
- URL: https://github.com/randomicecube/ml-exercises
- Owner: randomicecube
- Created: 2022-11-02T23:42:56.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-07-14T13:28:23.000Z (almost 3 years ago)
- Last Synced: 2023-07-14T14:35:44.004Z (almost 3 years ago)
- Language: Jupyter Notebook
- Size: 10.5 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ml-exercises
Where I'll be adding my $\LaTeX$ solutions for IST's ML course's exercises.
Generally speaking, I'll probably be spending more time with explanations than
with showing every single calculation in the resolutions.
_However_, every calculation performed will be shown in each sheet's respective `.ipynb` file.
## To-do list
- [ ] Sheet 1 - Univariate Data Analysis (probably won't be done)
- [x] Sheet 2 - Decision Trees
- [x] Sheet 3 - Bayesian Learning
- [x] Sheet 4 - Linear Regression, kNN
- [x] Sheet 5-6 - Gradient Descent
- [x] Sheet 7-8 - Neural Networks
- [x] Sheet 9 - Clustering
- [x] Sheet 10 - Dimensionality Reduction