This is a collection of data science Courses, notebooks, projects, and resources that document our journey in the world of data science and machine learning.
In this repository, we share our data science explorations, including datasets, Jupyter notebooks, scripts, and documentation. Our goal is to learn, experiment, and contribute to the data science community. Whether you're a beginner or an experienced data scientist, you can find something here to enhance your knowledge and skills.
We organize our Modules in separate directories, each dedicated to a specific topic or project. Here are some of the Modules you'll find in this repository:
To get started with the projects and resources in this repository, follow these steps:
Make sure you have the following prerequisites installed:
- Python (3.11 recommended)
- Jupyter Notebook
- Libraries listed in the
requirements.txtfile
You can install the required libraries using pip:
pip install -r requirements.txtClone this repository to your local machine:
git clone https://github.com/nadeem-majeedch/DataScienceJourney.git- Navigate to the project or resource you're interested in.
- Open and run Jupyter notebooks to explore the data and models.
- Feel free to modify and experiment with the code to learn and improve your skills.
We welcome contributions from the data science community. If you have an interesting project, improvement, or resource to share, please follow our Contribution Guidelines.
This repository is licensed under the MIT License.