Welcome to the Artificial Intelligence and Machine Learning with Python repository! This repository is a collection of notes and resources from a course on artificial intelligence (AI) and machine learning (ML) using Python offered by C and System Programmers Association.
Please note that this repository is not entirely my own work. The notes and resources included here are compiled from the course. The purpose of this repository is to provide a convenient and organized reference for those interested in AI and ML.
Artificial intelligence and machine learning are rapidly evolving fields with immense potential. This repository serves as a compilation of notes, code examples, and resources that I have gathered during my studies in the field of AI and ML.
- Comprehensive collection of AI and ML notes and resources
- Covers a wide range of topics, including supervised and unsupervised learning, deep learning, TensorFLow, PyTorch, Theano, and more
- Real-world examples and case studies
To access the contents of this repository, simply clone it to your local machine using the following command:
git clone https://github.com/your-username/artificial-intelligence-and-machine-learning-with-python.gitThis repository is organized into directories based on different AI and ML topics. Each directory contains code examples, and datasets specific to that topic. Explore the relevant directories and files to find the code and resources you need.
To run a specific code example or tutorial, navigate to the respective directory and execute the Python script. For example:
cd supervised-learning
python decision_tree_classification.pyFeel free to modify and experiment with the code to better understand the concepts and algorithms. The code files contain comments to help you understand the implementation.
Contributions are welcome! If you have any suggestions, bug reports, or new code examples to add, please open an issue or submit a pull request. Make sure to follow the existing coding style and provide relevant details about your contribution.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the code examples and resources for both personal and commercial purposes. However, attribution to the original authors is highly appreciated.
I successfully completed the Artificial Intelligence and Machine Learning course. This certificate acknowledges my achievement and demonstrates my commitment to continuous learning.
Thank you for visiting the Artificial Intelligence and Machine Learning with Python repository! Happy coding and exploring the fascinating world of AI and ML!