Data-Science-Analytics

This repository is dedicated to advanced data science projects, encompassing data cleaning, exploratory data analysis, statistical modeling, machine learning, and data visualization using Python. The goal is to provide practical examples and solutions for various data-driven challenges.

Topics

• Data Preprocessing and Feature Engineering
• Statistical Analysis and Hypothesis Testing
• Machine Learning Models (Supervised and Unsupervised)
• Time Series Analysis
• Data Visualization with Matplotlib, Seaborn, Plotlly

Installation

# Clone the repository
git clone https://github.com/Whilly3/Data-Science-Analytics.git
cd Data-Science-Analytics

# Install declopendencies
pip install -r requirements.txt

Usage

Each project within this repository will have its own directory containing detailed instructions, datasets, and code examples.

Contribution

Contributions are welcome! Please follow the contribution guidelines for submitting pull requests.

License

This project is licensed under the MIT License.