Teaching-Python

Welcome to the Teaching-Python repository! This collection contains Python tutorials and resources for classes that I use for teaching at Indian Institute of Science, Bangalore.

Homepage-Link linkedin

Repository Structure

Here's an overview of the main folders and their contents:

• Data Munging
  • Resources and tutorials related to data preprocessing and cleaning.
• Distributed ML
  • Materials covering distributed machine learning concepts using Tensorflow
• ML-Algorithms
  • Implementations and explanations of various machine learning algorithms.
• Neural-Networks-Tensorflow
  • Introduction to TensorFlow for Regression and Classification tasks.
• Python-Basics
  • Fundamental Python programming concepts and syntax.
• Python-Libraries
  • Tutorials on popular Python ML libraries like Pandas, sklearn, matplotlib, numpy

Recent Updates

• Neural-Networks-Tensorflow: Introduction to TensorFlow for Regression and Classification (Updated recently)
• ML-Algorithms: README updated 3 weeks ago
• Python-Libraries: Added Colab link for scikit-learn last month

Getting Started

To get started with these tutorials:

1. Clone this repository to your local machine:

   git clone https://github.com/thivinanandh/Teaching-Python.git
   

2. Navigate to the folder of interest.
3. Follow the instructions in the README files within each folder for specific setup and usage guidelines.

Prerequisites

• Basic understanding of Python programming

Contributing

If you'd like to contribute to this repository, please follow these steps:

1. Fork the repository
2. Create a new branch for your feature
3. Commit your changes
4. Push to the branch
5. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any queries or suggestions, please open an issue in this repository.

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We hope you find these resources helpful in your Python learning journey!