The aim of this project is to provide different prediction services at one place. In this website there are 6 different prediction services which is build using Data Analysis Techniques and Machine Learning Algorithms.
Deployed on Heroku: Predictions.com (Website Link)
- Calories Calculator
- ML Algorithm: Decision Tree Regressor
- Accuracy Score: 99% (0.9929)
- Dataset: Calories and Excercise Data
- Gold Price Prediction
- ML Algorithm: XGBoost Regressor
- Accuracy Score: 98% (0.9844)
- Dataset: Gold Price Data
- Loan Status Prediction
- ML Algorithm: Random Forest Classifier
- Accuracy Score: 77% (0.7755)
- Dataset: Loan Predication Data
- Laptop Price Calculator
- ML Algorithm: Random Forest Regressor
- Accuracy Score: 82% (0.8255)
- Dataset: E-Commerce Laptop Data
- House Price Prediction
- ML Algorithm: Linear Regression
- Accuracy Score: 85% (0.8582)
- Dataset: Bengaluru House Price Data
- Car Price Prediction
- ML Algorithm: Random Forest Regressor
- Accuracy Score: 89% (0.8926)
- Dataset: Vehicle Data From Cardekho.com
Clone the project
git clone https://github.com/deepamkalekar/Multi-Category-Prediction-Website.gitGo to the project directory
cd Multi-Category-Prediction-WebsiteInstall Libraries
pip install requirements.txtStart the server
pyhton app.py