This repository contains Jupyter notebooks for learning Python, Data Analysis, Machine Learning, and Data Science. The notebooks cover various concepts and techniques in these fields, from the basics to advanced topics.
To start using this repository, you'll need to have the following installed on your computer:
- Anaconda (or another distribution of Python 3)
- Jupyter Notebook
Once you have these installed, you can clone this repository to your computer by running the following command in your terminal or command prompt:
git clone https://github.com/[username]/Jupyter-Notebook.gitReplace [username] with the username of the repository owner.
Next, navigate to the repository directory and start Jupyter Notebook:
cd jupyter
jupyter notebookJupyter Notebook should start in your web browser. You can now open any of the notebooks in this repository and start learning!
The following notebooks are included in this repository:
- Python Fundamentals: This notebook covers the basics of Python programming, including variables, data types, control flow, functions, and more.
- Data Analysis with Pandas: This notebook covers how to use the Pandas library to load, manipulate, and analyze data.
- Machine Learning with scikit-learn: This notebook covers how to use the scikit-learn library to build and evaluate machine learning models.
- Data Visualization with Matplotlib: This notebook covers how to use the Matplotlib library to create visualizations of data.
- Big Data with PySpark: This notebook covers how to use the PySpark library to process large amounts of data.
This repository provides a comprehensive guide to learning Python, Data Analysis, Machine Learning, and Data Science. Whether you're just starting or looking to brush up on your skills, this repository is a great resource for anyone interested in these fields. Happy learning!