https://github.com/shashaaankkkkk/bharat_intern
Description: Collection of ML projects: House Price Prediction: Regression models for predicting house prices. Wine Quality Prediction: ML techniques to assess wine quality. Iris Flower Classification: Classifying iris flower species.
https://github.com/shashaaankkkkk/bharat_intern
bharat-intern flask linear-regression machine-learning python3
Last synced: 3 months ago
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Description: Collection of ML projects: House Price Prediction: Regression models for predicting house prices. Wine Quality Prediction: ML techniques to assess wine quality. Iris Flower Classification: Classifying iris flower species.
- Host: GitHub
- URL: https://github.com/shashaaankkkkk/bharat_intern
- Owner: shashaaankkkkk
- Created: 2023-12-05T14:07:44.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-05T20:37:47.000Z (over 2 years ago)
- Last Synced: 2025-05-18T13:29:14.921Z (about 1 year ago)
- Topics: bharat-intern, flask, linear-regression, machine-learning, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 2.64 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# Machine Learning Projects Repository
Welcome to the Machine Learning Projects Repository! This repository contains a collection of machine learning projects focusing on predictive modeling and classification tasks.
## Projects Included
### Task-1: House Price Prediction
- **Objective**: Predicting house prices using regression models.
- **Contents**:
- Datasets for house features.
- Jupyter Notebooks and Python scripts for data preprocessing, model training, and price prediction.
### Task-2: Wine Quality Prediction
- **Objective**: Assessing wine quality using machine learning techniques.
- **Contents**:
- Datasets related to wine attributes.
- Notebooks and scripts for data preprocessing, model training, and quality evaluation.
### Task-3: Iris Flower Classification
- **Objective**: Classifying iris flower species based on their characteristics.
- **Contents**:
- Iris flower datasets for model training.
- Jupyter Notebooks and Python scripts for data exploration, preprocessing, and species classification.
### Flask Application - Wine Quality Prediction
To run the Flask application for house price prediction:
1. Navigate to the Task-2 folder.
3. Run the Flask application using the command:
```bash
flask --app app run
## Usage
Feel free to explore each project folder for detailed instructions, datasets, and code implementation specific to each machine learning task.
## Contributors
- [Shashank shekhar](https://github.com/shashaaankkkkk/)
## License
This project is licensed under the [MIT License](link-to-license-file).