Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/dhrupad17/machine-learning-a-z
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance
https://github.com/dhrupad17/machine-learning-a-z
adaboost-algorithm classification-algorithm decision-trees gradient-boosting knn-algorithm logistic-regression mlalgorithms naive-bayes-algorithm random-forest regression-models svm-kernel svm-model
Last synced: 1 day ago
JSON representation
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance
- Host: GitHub
- URL: https://github.com/dhrupad17/machine-learning-a-z
- Owner: dhrupad17
- License: mit
- Created: 2024-08-20T16:23:20.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-09-04T12:58:53.000Z (2 months ago)
- Last Synced: 2024-09-05T15:19:29.036Z (2 months ago)
- Topics: adaboost-algorithm, classification-algorithm, decision-trees, gradient-boosting, knn-algorithm, logistic-regression, mlalgorithms, naive-bayes-algorithm, random-forest, regression-models, svm-kernel, svm-model
- Language: Jupyter Notebook
- Homepage:
- Size: 51.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Machine-Learning-A-Z
This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance