https://github.com/omr-ql/machine-learning-algorithms

This is my machine learning algorithms I have implemented so far
https://github.com/omr-ql/machine-learning-algorithms

ai algorithms machine-learning programming python

Last synced: 6 months ago
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This is my machine learning algorithms I have implemented so far

• Host: GitHub
• URL: https://github.com/omr-ql/machine-learning-algorithms
• Owner: omr-ql
• Created: 2024-02-29T15:22:14.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-16T16:27:32.000Z (10 months ago)
• Last Synced: 2025-03-15T08:17:55.001Z (9 months ago)
• Topics: ai, algorithms, machine-learning, programming, python
• Language: Python
• Homepage:
• Size: 34.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine Learning

## Supervised Learning Modules : 

- **Simple Linear Regression**

  - A simple linear regression model to predict values based on a linear relationship between variables.

  

- **Support Vector Regression**

  - A support vector machine algorithm for regression tasks, handling both linear and non-linear data.

- **Decision Tree Regression**

  - A regression model that uses a decision tree to predict outcomes by learning decision rules from features.

- **Random Forest Regression**

  - An ensemble method using multiple decision trees to improve the accuracy and robustness of predictions.

- **Logistic Regression**

  - A statistical model for binary classification tasks, estimating probabilities using a logistic function.

- **K Nearest Neighbor**

  - A non-parametric method used for classification and regression by comparing a point to its k-nearest neighbors.

## Unsupervised Learning Modules : 

- **K-Means Clustering** 

  - it is an Algorithm used to partition data into K distinct clusters by minimizing the variance within each cluster. It assigns each data point to the 

    nearest cluster centroid and updates centroids iteratively until convergence.