This repository contains my data analytics practice projects. It includes various examples and exercises covering different aspects of data analysis, including data cleaning, data visualization, statistical analysis, and machine learning. The projects use popular data analytics libraries in Python such as Pandas, Matplotlib, Seaborn, and Scikit-learn.
This repository is designed to showcase my data analytics skills and to serve as a learning resource for others interested in the field. Each project folder contains a Jupyter notebook with detailed explanations, code, and visualizations.
- Description: Techniques for cleaning and preprocessing data.
- Description: Exploratory analysis of various datasets to find patterns and insights.
- Description: Examples of creating various types of visualizations.
Contributions are welcome! If you have any suggestions or improvements, please submit a pull request or open an issue.