Welcome to the Data Cleaning Practice and Matrix project! This project contains code and exercises focused on practicing data cleaning and working with matrices.
Check out the interactive Kaggle notebook below to explore the project in action:
👉 Alternatively, you can view the notebook directly:
View the Kaggle Notebook
This project focuses on:
- Data Cleaning Techniques: Learn how to handle missing values, correct data types, and perform data standardization.
- Matrix Operations: Get hands-on practice with matrix manipulations and transformations using Python libraries like NumPy and Pandas.
To run this project locally:
- Clone the repository:
git clone /~https://github.com/your-username/data-cleaning-practice-and-matrix.git cd data-cleaning-practice-and-matrix
- Link with Image Button: Provides an easily recognizable button to direct users to the Kaggle notebook.
- Project Overview: Briefly explains the key focus of the project (data cleaning and matrix operations).
- Step-by-Step Instructions: Guides users on how to clone and run the project locally.
- Interactive Notebook: Clearly invites users to check out the interactive notebook on Kaggle.