ColabProjects 🚀

A collection of Jupyter Notebooks created and executed on Google Colab for data analysis, machine learning, and predictive modeling.

📂 Notebooks Included

1. PricePredictWithLinearRegression.ipynb
   • Implements linear regression for price prediction.
2. Netflix_User_Analysis_And_Trends.ipynb
   • Analyzes Netflix user trends and viewing habits.
3. Analyse_Best_Selling_Amazon_Books.ipynb
   • Examines the best-selling books on Amazon using data analysis.
4. Ali_Baba_Future_Stocks_Prediction.ipynb
   • Predicts Alibaba's stock trends using machine learning.
5. AnalyzeUSCensus.ipynb
   • Analyzes the US Census dataset for demographic insights.
6. YouTube_Analysis_Of_Most_Subscribed_Channels.ipynb
   • Analyzes the most subscribed YouTube channels and their growth.

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🔧 How to Use

1. Clone the repository:

   git clone https://github.com/Quantumboy80/ColabProjects.git

Open the notebooks in Google Colab or Jupyter Notebook.

Install required dependencies (if any) using:

pip install -r requirements.txt

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Run the notebooks and analyze the data.

💡 Contributing
Feel free to fork the repository, create a new branch, and submit a pull request if you have any improvements or additional analysis to add.

📜 License
This project is open-source under the MIT License.