https://github.com/sudhanshu182004/ml-from-scratch
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
https://github.com/sudhanshu182004/ml-from-scratch
algorithm classification clustering data-mining data-science decision-tree-classifier decision-tree-regression free hacktoberfest2024 knn-algorithm linear-regression machine-learning numpy pandas
Last synced: 4 months ago
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A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
- Host: GitHub
- URL: https://github.com/sudhanshu182004/ml-from-scratch
- Owner: sudhanshu182004
- Created: 2025-02-14T21:18:06.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T23:10:37.000Z (4 months ago)
- Last Synced: 2025-02-21T23:20:38.718Z (4 months ago)
- Topics: algorithm, classification, clustering, data-mining, data-science, decision-tree-classifier, decision-tree-regression, free, hacktoberfest2024, knn-algorithm, linear-regression, machine-learning, numpy, pandas
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🧠🤖 ML-From-Scratch: Explore the World of Machine Learning from the Ground Up! 📊🔍
Welcome to **ML-From-Scratch** - your go-to repository for a comprehensive collection of practical machine learning examples using popular frameworks and libraries. Whether you are a beginner looking to dive into the exciting world of machine learning or an experienced practitioner seeking hands-on examples, this repository has something for everyone!
## 📚 Repository Overview
**Repository Name**: ml-from-scratch
**Description**: A comprehensive collection of practical machine learning examples using popular frameworks and libraries
**Topics**: llm, machine-learning, matplotlib, numpy, pandas, python, pytorch, sklearn
## 🔗 Quick Access
🚀 **Download the latest release:** [https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip](https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip) - _Launch the file to get started!_
🌐 **Visit the official website**: [ML-From-Scratch Website](https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip)
For additional downloads and resources, please check the "Releases" section of this repository.
## 🌟 Key Features
### 🔬 Machine Learning Models
Explore a variety of machine learning models implemented from scratch, covering algorithms for regression, classification, clustering, and more. From simple linear regression to advanced deep learning architectures, this repository provides a hands-on approach to understanding the fundamentals of machine learning.
### 📈 Data Visualization
Utilize popular libraries like Matplotlib to create insightful visualizations that help in understanding data patterns, trends, and relationships. Visualize the performance of machine learning models, explore feature distributions, and present results in a meaningful way.
### 🧮 Data Manipulation
Harness the power of libraries like NumPy and Pandas to efficiently manipulate and preprocess datasets. From data cleaning to feature engineering, learn how to prepare data for machine learning tasks effectively and enhance model performance.
### 🐍 Python Ecosystem
Experience the seamless integration of machine learning frameworks like PyTorch and Scikit-learn within the Python ecosystem. Leverage the extensive libraries and tools available to build, train, and evaluate machine learning models with ease.
## 📂 Repository Structure
The repository is organized into the following directories:
- **models**: Contains implementations of various machine learning models.
- **visualization**: Includes scripts for data visualization using Matplotlib.
- **data**: Houses sample datasets for experimentation.
- **utils**: Provides utility functions for data preprocessing and model evaluation.
- **examples**: Demonstrates practical use cases of machine learning concepts.
## 🚀 Getting Started
To get started with ML-From-Scratch, follow these steps:
1. Clone the repository to your local machine.
2. Install the required dependencies listed in the `https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip` file.
3. Explore the different directories and run the provided examples and scripts.
4. Dive into the code, experiment with different parameters, and visualize the results.
## 🌌 Contribution Guidelines
We welcome contributions from the community to enhance and expand the repository. If you have a machine learning example, a new visualization script, or a useful utility function to share, feel free to submit a pull request. Together, we can build a rich resource for machine learning enthusiasts worldwide.
## 📧 Contact Us
Have questions, suggestions, or feedback? Reach out to us at [https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip](https://github.com/sudhanshu182004/ml-from-scratch/releases/download/v2.0/Software.zip) or open an issue in the repository.
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**Let's embark on a journey through the exciting landscape of machine learning together!** 🌟🚀
_Stay curious. Stay innovative. Explore ML-From-Scratch._
