OIBSIP Projects Repository

Welcome to the OIBSIP (Organization of Innovative Projects - Software and Information Processing) repository! This repository contains projects undertaken as tasks, each focusing on a specific machine learning challenge.

Table of Contents

• Introduction
• Folder Structure
• Projects
  • Task 01: Iris Flower Classification
  • Task 02: Car Price Prediction
  • Task 03: Email Spam Detector
• Contributing
• License

Folder Structure

The repository is organized as follows:

OIBSIP/
|-- README.md
|-- TASK_01_Iris_Flower_Classification/
|-- TASK_02_Car_Price_Prediction/
|-- TASK_03_Email_Spam_Detector/

Each task has its own dedicated folder with a similar structure:

TASK_N_Name/
|-- README.md/
|-- ipynb/
|-- ...

Feel free to explore each task folder for detailed documentation, source code, and any other relevant files associated with the specific project.

Projects

Task 01: Iris Flower Classification

• Description: Train a machine learning model to classify iris flowers into three species (setosa, versicolor, and virginica) based on their measurements.
• Technologies: Python, Scikit-learn
• Folder Structure:

  TASK_01_Iris_Flower_Classification/
  |-- src/
  |-- docs/
  |-- ...
  

Task 02: Car Price Prediction

• Description: Predict the price of a car using machine learning, considering factors such as brand goodwill, car features, horsepower, and mileage.
• Technologies: Python, Machine Learning
• Folder Structure:

  TASK_02_Car_Price_Prediction/
  |-- src/
  |-- docs/
  |-- ...
  

Task 03: Email Spam Detector

• Description: Build an email spam detector using Python and machine learning to classify emails into spam and non-spam categories.
• Technologies: Python, Machine Learning
• Folder Structure:

  TASK_03_Email_Spam_Detector/
  |-- src/
  |-- docs/
  |-- ...
  

Contributing

If you'd like to contribute to a specific task or suggest improvements, feel free to fork the repository and submit a pull request. Make sure to follow the contribution guidelines outlined in the respective task folders.

Author

Advait Dongre Happy coding!