Welcome to the AI Learning Repository! 📊 This repository serves as a resource for individuals learning about AI using Python. In our class, we explore various libraries and tools such as NumPy, Pandas, and Matplotlib, leveraging the Anaconda Navigator environment.
This repository is a collection of Jupyter Notebooks and datasets aimed at facilitating learning in the field of data analytics. Whether you're a beginner or an enthusiast looking to enhance your skills, you'll find valuable content here.
- Data_cleaning.ipynb: This notebook covers techniques and best practices for cleaning and preprocessing data.
- numPy.ipynb: Explore the fundamentals of NumPy, a powerful library for numerical computing in Python.
- Pandas.ipynb: Dive into Pandas, a versatile library for data manipulation and analysis in Python.
The dataset directory contains the following datasets:
- iris.csv: Dataset containing information about iris flowers.
- titanic.csv: Dataset with passenger information from the Titanic.
Feel free to clone this repository and explore the notebooks at your own pace. You can run the notebooks in your local environment or through online platforms like Google Colab.
- Download Anaconda: Anaconda is a popular Python distribution that includes many data science libraries and tools, including Jupyter Notebook and the Anaconda Navigator.
If you find any errors, have suggestions for improvements, or would like to contribute additional content, please feel free to open an issue or submit a pull request. Your contributions are highly appreciated!
Special thanks to our instructor and classmates for their contributions to this learning journey.