Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

In linear regression, regularization is a process of making the model more regular or simpler by shrinking the model coefficient to be closer to zero or absolute, ultimately to address over fitting.

Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction

Linear Regression on Medical Insurance Dataset

Project to predict production quantities for a given dataset using Machine Learning algorithms.

🧑🏻‍✈✈️Flight Price Prediction using ML