https://github.com/sureshbeekhani/machine-learning-algorithms
A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
https://github.com/sureshbeekhani/machine-learning-algorithms
dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn
Last synced: about 2 months ago
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A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.
- Host: GitHub
- URL: https://github.com/sureshbeekhani/machine-learning-algorithms
- Owner: SURESHBEEKHANI
- Created: 2024-05-29T05:22:33.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-08-16T04:31:51.000Z (10 months ago)
- Last Synced: 2025-09-04T20:27:33.462Z (9 months ago)
- Topics: dataanalysis, datascience, featurescaling, linearregression, machinelearning, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 6.99 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning Algorithms 📘
This repository is a **learning and practice collection** of core machine learning algorithms.
It contains implementations, experiments, and examples of both **regression** and **classification** techniques.
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## 📂 Repository Structure
- **Regression/**
- Linear Regression
- Polynomial Regression
- Ridge & Lasso Regression
- Other regression models
- **Classification/**
- Logistic Regression
- Decision Trees
- Random Forest
- KNN, SVM, Naive Bayes
- Other classification models
---
## 🚀 Tech Stack
- **Language:** Python
- **Libraries:** NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
---
git clone https://github.com/SURESHBEEKHANI/Machine-Learning-Algorithms.git
cd Machine-Learning-Algorithms