Machine Learning with Python_ Jadi - Course on Maktabkhoone

Course Link: Machine Learning with Python - Jadi

Overview

This repository is organized into the following sections:

• Exercises: Contains Python scripts and Jupyter notebooks for practicing machine learning concepts covered in the course.
• Projects: Includes end-to-end machine learning projects that demonstrate practical applications of the concepts learned.
• Resources: Supplementary materials such as datasets, useful links, and additional readings provided during the course.

Requirements

To run the code in this repository, ensure you have the following installed:

• Python (version >= 3.6)
• Jupyter Notebook
• Required Python libraries: NumPy, Pandas, Matplotlib, Scikit-learn, etc. (install via pip install -r requirements.txt)

Getting Started

1. Clone this repository: git clone https://github.com/your-username/machine-learning-jadi.git
2. Navigate to the cloned repository: cd machine-learning-jadi
3. Install dependencies: pip install -r requirements.txt
4. Start Jupyter Notebook: jupyter notebook

Usage

• Explore the exercises and projects in the respective directories.
• Open the Jupyter notebooks to interact with the code, run cells, and understand the concepts.
• Modify and experiment with the code to deepen your understanding of machine learning algorithms and techniques.

Contributions

Contributions to improve the code examples, add new exercises, or suggest enhancements are welcome! Fork this repository and create a pull request with your changes.

Contact

If you have any questions or feedback regarding this repository, feel free to contact me at anita.trkh@gmail.com.

Happy learning!