This is a Flask Application which consists of three different prediction codes.
Firstly, the Pizza Liking Prediction 🍕 tells whether a person will like pizza or not. It uses the knn which is K-Nearest Neighbors model to learn the pizza.csv dataset provided to predict the possibility of whether a particular person will like pizza or not.
The next is Fuel Price Prediction ⛽ which is about the cost of the fuel depending upon the distance travelled. It uses the Linear Regression model as the target variable IS continous in nature.
Finally, the Diabetes Prediction ✅ yeilds the output classifying if that particular person will have diabetes or not. Logistic Regression is used in this case.
This project wraps everything into one Flask application with HTML and CSS for styling and designing the web page.