Multiple linear regression highlighted the significance of five variables. They are export iron ore from Brazil, steel production from China, price of coal, steel production from India and price of ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model.

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...

The optimal dosage of insulin for diabetic patients using MLR and PCA introduces an advanced method for predicting optimal insulin doses for individuals with diabetes by leveraging machine learning ...

The conventional multiple linear regression model is limited by its inability to process high-dimensional datasets, susceptibility to multicollinearity, and challenges in modeling non-linear ...

Statistically answered 8 research questions using Multiple Factor Analysis (MFA), Principal Component Analysis (PCA), Multiple Linear Regression, Welch's t-test, Wilcoxon signed-rank test, and ...

KAR-NG / Life-Expectancy-Statistical-Analysis-WHO- Star 0 Code Issues Pull requests Statistically answered 8 research questions using Multiple Factor Analysis (MFA), Principal Component Analysis (PCA) ...