Skip to content

Latest commit

 

History

History
74 lines (43 loc) · 2.59 KB

README.md

File metadata and controls

74 lines (43 loc) · 2.59 KB

banner

ML Guide

Diving into the world of ML
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents
  1. About
  2. Features
  3. Tech Stack
  4. Languages and Tools
  5. Instructions on running project locally
  6. Feedback

About

ML Guide is a collaborative repository designed for all things machine learning. Whether you are a beginner looking to learn about machine learning or an experienced practitioner looking to refresh your skills, ML Guide is the perfect resource for you 🌸

The repository is designed with a user-friendly structure, making it easy for learners to navigate and find the resources they need. It includes a comprehensive collection of resources such as tutorials, projects, assignments, and datasets to help learners gain a strong foundation in machine learning 🧠

key features of ML Guide is its community-driven approach. Contributors are encouraged to share their knowledge, collaborate with others, and work on projects together to improve their skills. The repository is open-source, which means that anyone can contribute, or modify the content in the repository, ensuring that the resources are up to date 🆕

Features

👨‍💻Provides a variety of projects and code samples that students may utilise to practise their abilities and obtain real-world experience.

🤝 Open-source, meaning that anyone can contribute, use, or modify the content in the repository.

Instructions on running project locally:

Clone the project

  • Copy the url of notebook from repository
  • Open Google Colab -> Github Section -> Paste the url -> Open Notebook

Authors

🔆 @Hrishikesh Yadav

Feedback

If you have any feedback, please reach out to us at [email protected]