https://github.com/dipto9999/ml_introduction
An Introduction to Machine Learning, primarily using Python scikit-learn library.
https://github.com/dipto9999/ml_introduction
data-science decision-trees jupyter-notebook k-means-clustering k-nearest-neighbors linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas principal-component-analysis python random-forest scikit-learn seaborn support-vector-machines
Last synced: about 1 month ago
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An Introduction to Machine Learning, primarily using Python scikit-learn library.
- Host: GitHub
- URL: https://github.com/dipto9999/ml_introduction
- Owner: Dipto9999
- Created: 2020-06-24T08:49:39.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-12-22T00:12:55.000Z (almost 3 years ago)
- Last Synced: 2025-06-19T10:41:40.162Z (4 months ago)
- Topics: data-science, decision-trees, jupyter-notebook, k-means-clustering, k-nearest-neighbors, linear-regression, logistic-regression, machine-learning, machine-learning-algorithms, matplotlib, numpy, pandas, principal-component-analysis, python, random-forest, scikit-learn, seaborn, support-vector-machines
- Language: Jupyter Notebook
- Homepage:
- Size: 7.23 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0