https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics
https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
decision-tree-classifier eda gradient-descent image-segmentation ivf knn-classification linear-regression lsh-implementation matplotlib-pyplot numpy pandas python3 seaborn sgd-optimizer sklearn slic-superpixel-algorithm
Last synced: 2 months ago
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Implementation of various machine learning algorithms from scratch, including Linear Regression, K-Nearest Neighbors, Decision Trees, and K-Means clustering. Also done EDA on data, Implemented LSH, IVF, SLIC algorithms also with evaluation metrics
- Host: GitHub
- URL: https://github.com/mayankmittal29/algovision-statistical_methods_in_ai
- Owner: mayankmittal29
- Created: 2025-02-28T13:50:24.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T22:19:50.000Z (9 months ago)
- Last Synced: 2025-08-06T15:54:01.239Z (3 months ago)
- Topics: decision-tree-classifier, eda, gradient-descent, image-segmentation, ivf, knn-classification, linear-regression, lsh-implementation, matplotlib-pyplot, numpy, pandas, python3, seaborn, sgd-optimizer, sklearn, slic-superpixel-algorithm
- Language: Jupyter Notebook
- Homepage:
- Size: 147 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md