OIBSIP

This Repository Consists of all the tasks that were assigned to me during internship at Oasis Infobyte as a Data Science Intern from October 15th 2023 to November 15th 2023

Brief Introduction of all Tasks

Task 1: Develop a Machine Learning Model to learn from measurements(SepalLenghtCm, SepalWidthCm, PetalLengthCm and PetalWidthCm) and classify them into one of three species(Iris-setosa, Iris-versicolor, Iris-virginica)

Python Notebook Link of Task 1
Explaination of Task - 1

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Task 2: Unemployment(in India) Analysis using Python

Python Notebook Link of Task 2
Explaination of Task - 2

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Task 3: Car Price Prediction using Machine Learning

Python Notebook Link of Task 3
Explaination of Task - 3

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Task 4: Email Spam Detection Using Machine Learning

Python Notebook Link of Task 4
Explaination of Task - 4

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Task 5: Sales Prediction Using Python

Python Notebook Link of Task 5
Explaination of Task - 5

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Internship Completion Certificate

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Professional Project Structure and Contribution Guidelines

📁 Directory Structure

• Each task is organized in a dedicated folder containing:
  • Source code (Jupyter Notebooks, Python scripts)
  • Data, if applicable
  • Output visualizations and project-specific README.md files

🚀 Getting Started

1. Clone this repository:

   git clone https://github.com/ADVAIT135/OIBSIP.git
   cd OIBSIP

2. Open the task directory of your interest.
3. Launch the Jupyter Notebook:

   jupyter notebook

4. Review the notebook and follow the instructions for each task.

🛠️ Dependencies

• Python 3.x
• Jupyter Notebook
• pandas, numpy, matplotlib, seaborn, scikit-learn (for most tasks)
• You can install dependencies using:

  pip install -r requirements.txt

  (If a requirements.txt is missing, install the packages listed at the start of each notebook.)

🤝 Contributing

Contributions are welcome!
To contribute:

1. Fork the repository
2. Create your branch (git checkout -b feature/your-feature)
3. Commit your changes
4. Push to the branch (git push origin feature/your-feature)
5. Open a pull request

📜 License

This project is licensed under the MIT License

🙏 Acknowledgements

• Oasis Infobyte for the internship opportunity and project assignments
• Open-source Python, data science, and machine learning community

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For any questions or feedback, feel free to open an issue or reach out via LinkedIn.