Perform EDA of calories burnt during exercise data, to aid in feature selection. Fit linear and polynomial regression models as well as decision trees and random forests. Evaluate the models. Make a web app that predict calories burnt given data about self and a recent workout.
Source: Siddhardhan Take care of missing values. Do necessary data cleaning. Use an encoder for categorical features. Use RGBregressor model. Evaluate model.
Source: Siddhardhan The price of silver is found to be closely related to the price of gold. Hence it together with any other features can be used the predict the price of gold.