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Using a linear regression method, we build a model to determine the relationship between independent and dependent variable, and then predict the sales. In the process, we will use a statistical point of view for validation.
We will design a predictive model to predict the full-load power output of the Combined Cycle Power Plant Dataset from UCI ML repository and evaluate the performance of the model.
Regression Techniques in Machine learning including topics from Assumption, Simple and Multiple Linear Regression. Both theory and python codes are included.
Predicting Used Car Price with Linear Model
Building a statistical model using wine dataset
Regression Analysis project
Linear Regression Project
Skript zur Videoreihe Regressionsdiagnostik in R
The project provides a Regression on the Insurance Prediction Data which shows the features of individuals, tuned using Ridge & Lasso.