Welcome to the Machine Learning Projects Repository! This repository contains a collection of machine learning projects focusing on predictive modeling and classification tasks.
- 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.
- 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.
- 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.
To run the Flask application for house price prediction:
- Navigate to the Task-2 folder.
- Run the Flask application using the command:
flask --app app run
Feel free to explore each project folder for detailed instructions, datasets, and code implementation specific to each machine learning task.
This project is licensed under the MIT License.