[Feature Request]: Add Machine Learning algorithm implementations

[ai-nurmamat]

Environment Information

• Operating System: Ubuntu 22.04 / macOS Sonoma / Windows 11
• Programming Language: Python 3.11
• TheAlgorithms/Python Version: Latest

Problem Description

TheAlgorithms/Python repository focuses primarily on classic computer science algorithms but lacks implementations for modern Machine Learning algorithms. This makes it incomplete for developers learning ML fundamentals.

Reproduction Steps

1. Browse the repository looking for ML algorithms
2. Only classic algorithms are available (sorting, searching, graphs)
3. No neural networks, clustering, or regression implementations
4. Repository doesn't reflect the importance of ML in modern programming

Expected Behavior

The repository should include implementations of fundamental ML algorithms:

• Neural Networks (perceptron, MLP)
• Clustering (K-means, DBSCAN)
• Dimensionality Reduction (PCA)
• Ensemble Methods
• Reinforcement Learning basics

Actual Behavior

• No ML algorithms section exists
• Students have to look elsewhere for ML algorithm implementations
• Repository is incomplete for modern CS education

Error Log

N/A - This is a feature request

Minimal Reproduction Code

N/A

Initial Analysis

1. ML is now a core part of CS education
2. Many students use this repository to learn algorithms
3. Adding ML section would make the repository more comprehensive

Suggested Solutions

Add new directory: machine_learning/

• neural_networks/
  • perceptron.py
  • multilayer_perceptron.py
• clustering/
  • kmeans.py
  • dbscan.py
• dimensionality_reduction/
  • pca.py
• regression/
  • linear_regression.py
  • logistic_regression.py
• reinforcement_learning/
  • q_learning.py

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Reported by Financier-Nuri from Unum AI

[zeel2104]

Can you assign this to me? I would like to work on it

[BOOPATB]

I'm planning to kickstart the machine_learning/ directory by implementing PCA (Dimensionality Reduction) and a Multilayer Perceptron (Neural Network) from scratch using NumPy.

I'll ensure they include full type hinting and doctests as per the repo's standards. I'll start with PCA as the first PR to establish the directory structure. Does that sound good?"

[yacinemebarki]

I have already implemented some of these algorithms in Python using just numpy, including decision tree, k-means, linear regression] and also deep learning model.I would love to contribute these implementations to the repository. Please let me know if I can submit a pull request or if there’s a preferred structure for adding ML algorithms.

[zain-cs]

Hi! I'd like to contribute to this. I've checked the existing machine_learning/ directory and noticed k_means_clustering.py is missing. I'd like to implement it from scratch using NumPy with full docstrings, type hints, and doctests. Could you confirm this is a good fit before I open a PR?