Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
This repository consists of all my Machine Learning Projects.
| Date | Stars |
|---|---|
| 2026-07-31 | 748 |
| 2026-08-02 | 749 |
| 2026-08-06 | 751 |
Today
+2 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Machine Learning Projects     ## Why this repository? • The main purpose of making this repository is to keep all my Machine Learning projects at one place, hence keeping my GitHub clean!<br/> • It looks good, isn't it? ## Overview • This repository consists of all my Machine Learning projects.<br/> • Datasets are provided in each of the folders above, and the solution to the problem statements as well. ## Algorithms used **Regression:**<br/> • _Linear Regression_<br/> • _Multiple-Linear Regression_<br/> • _Logistic Regression_<br/> • _Polynomial Regression_<br/> • _Lasso and Ridge Regression (L1 & L2 Regularization)_<br/> • _Elastic-Net Regression_ **Classification:**<br/> • _K-Nearest Neighbours_<br/> • _Support Vector Machine_<br/> • _Naive Bayes_<br/> • _Decision Tree_<br/> **Clustering:**<br/> • _K-Means_<br/> **Ensemble:**<br/> • _Random Forest_<br/> • _Adaptive Boosting (AdaBoost)_<br/> • _Extreme Gradient Boosting (XGBoost)_<br/> • _Voting (Hard/Soft)_<br/> **Do ⭐ the repository, if it helped you in anyway.**
Excerpt of 1,326 characters
Read on GitHub
89
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:64b7f08d68620cf8, llm:README and topics list: 'This repository consists of all my Machine Learning projects', topics include machine-learning, classification, clustering, regression, sklearn, pandas, python; README lists algorithms (regression, classification, clustering, ensemble) and datasets/solutions in folders.
matched fp:64b7f08d68620cf8, llm:README and topics list: 'This repository consists of all my Machine Learning projects', topics include machine-learning, classification, clustering, regression, sklearn, pandas, python; README lists algorithms (regression, classification, clustering, ensemble) and datasets/solutions in folders.
matched fp:64b7f08d68620cf8, llm:README and topics list: 'This repository consists of all my Machine Learning projects', topics include machine-learning, classification, clustering, regression, sklearn, pandas, python; README lists algorithms (regression, classification, clustering, ensemble) and datasets/solutions in folders.