Machine Learning Playground

This repository is a personal learning space for experimenting with various Artificial Intelligence (AI) and Machine Learning (ML) models. The goal is to explore, understand, and implement different ML algorithms — it is not a finished “project,” but rather a sandbox for learning and experimentation.

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About This Repo

• A collection of AI/ML model implementations for practice and experimentation.
• Organized into folders such as Algorithms, Models, and Datasets.
• Ideal for understanding ML concepts through hands-on coding.

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Getting Started

1. Clone the repository:

   git clone https://github.com/Devashish-Pisal/machine-learning.git

2. Install dependencies (if any):

   pip install -r requirements.txt

3. Explore and run the notebooks or scripts inside Algorithms/.

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Contents

• Implementations of various ML/AI algorithms
• Example datasets for practice
• Notes, experiments, and learning exercises

(This repo focuses on learning and experimentation, not production-ready projects.)

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Future Plans

The repository will be continuously extended with:

• More AI/ML models and implementations
• Advanced PyTorch examples
• Additional notebooks/scripts and notes for learning

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