AI-Basics 🤖

Welcome to the AI-Basics project! This project aims to provide a comprehensive introduction to basic Machine Learning (ML) concepts. Whether you're a beginner or looking to refresh your knowledge, AI-Basics has got you covered. 🚀

Project Overview 🌟

AI-Basics is a collection of Jupyter notebooks that cover fundamental Machine Learning concepts. These notebooks are designed to be interactive and educational, guiding you through the concepts step-by-step. The project is divided into different modules, each focusing on a specific topic.

ML Concepts covered 📑

1. Introduction to Machine Learning 🤓
2. Data Preprocessing 📊
3. Linear Regression 📈
4. Classification Techniques 📝
5. Clustering Algorithms 🌌
6. Neural Networks and Deep Learning 🧠

Getting Started 🚗

To get started with AI-Basics, follow these steps:

1. Clone the Repository:

   git clone https://github.com/SinoLewis/ai-basics.git

2. Navigate to the Project Folder:

   cd ai-basics

3. Set Up Environment: We recommend using a virtual environment. Create one and install the required dependencies:

   virtualenv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   pip install -r requirements.txt

4. Launch Jupyter Notebooks: Launch Jupyter in your browser and explore the notebooks:

   jupyter notebook

5. Use Local and Google Colab Notebooks: You can run the notebooks locally or on Google Colab for free. Links to Colab notebooks are provided in each module.

Jupyter Notebooks Cheeat Sheet 🚀

Setup 🧠

1. Install Python: If Python is not already installed on your Debian system, you can install it using the following command:

sudo apt-get install python3

2. Install Jupyter Notebook: You can install Jupyter Notebook using the following command:

sudo apt-get install jupyter-notebook

3. Start Jupyter Notebook:

By default, the Jupyter Notebook server runs on port 8888.

jupyter-notebook --port=8000```

ShortCut Keys 🌈

• Shift + Enter: Run the current cell and move to the next cell
• Ctrl + Enter: Run the current cell and stay on the same cell
• Alt + Enter: Run the current cell and insert a new cell below
• Esc: Enter command mode (where you can navigate and edit cells, but not enter text)
• Enter: Enter edit mode (where you can edit the contents of a cell)
• A: Insert a new cell above the current cell
• B: Insert a new cell below the current cell
• M: Convert the current cell to a Markdown cell
• Y: Convert the current cell to a code cell
• D, D: Delete the current cell
• Z: Undo the last cell operation
• Ctrl + S: Save the notebook
• Shift + Up: Select multiple cells above the current cell
• Shift + Down: Select multiple cells below the current cell
• Shift + M: Merge the selected cells
• Shift + L: Toggle line numbers
• Ctrl + Shift + -: Split the current cell at the cursor position
• Esc, F: Find and replace within the notebook
• Esc, O: Toggle cell output

Contributions and Feedback 🤝

Contributions are welcome! If you find any issues or want to enhance the content, feel free to create a pull request. We also appreciate feedback and suggestions to improve the learning experience.

Let's Dive In! 🎉

Now that you're all set up, it's time to dive into the fascinating world of AI and Machine Learning with AI-Basics! 🤓🎈

Happy Learning! 🧠💡

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Note: This README is purely creative and for illustrative purposes, and the mentioned repository, links, and commands may not be real.