https://github.com/mainakverse/ml-algorithms-starter

List of machine learning algorithms that are needed to start with ML projects and lay a foundation into data science
https://github.com/mainakverse/ml-algorithms-starter

data-analysis data-science jupyter-notebooks machine-learning-algorithms practice

Last synced: 10 months ago
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List of machine learning algorithms that are needed to start with ML projects and lay a foundation into data science

• Host: GitHub
• URL: https://github.com/mainakverse/ml-algorithms-starter
• Owner: MainakVerse
• License: mit
• Created: 2025-02-27T13:24:12.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-02-27T13:26:37.000Z (11 months ago)
• Last Synced: 2025-02-27T19:09:57.504Z (11 months ago)
• Topics: data-analysis, data-science, jupyter-notebooks, machine-learning-algorithms, practice
• Language: Jupyter Notebook
• Homepage:
• Size: 764 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# ML-Algorithms

List of some top machine learning algorithms. Just give a dive and explore the world of ML.








## A. Regressions

### 1.  Simple Linear Regression

### 2.  Multivariate Regression

### 3.  Polynomial Regression

### 4.  Support Vector Regression



## B. Classification 

### 5.  Decision tree classifier

### 6.  Random forest classifier

### 7.  Naive-Bayes classifier

### 8.  K-Nearest Neighbour

### 9.  Logistic regression classifier

### 10. Support Vector Machine



## C. Clustering

### 11.  K-Mean Clustering

### 12.  Heirirchical Clustering

### 13.  Spectral Clustering

### 14.  Agglomerative Clustering



## D. Reinforcement Learning

### 15.  Thompson Sampling

### 16.  Upper Confidence Bound

### 17.  Dimensionality Reduction (PCA)



## E. Association Rule Learning

### 18.  Apriori

### 19.  Eclat



### 20.  Cross Validation

## Made with 💛 by Mainak Chaudhuri.