Recent Posts
Feature Selection in Machine Learning
In our previous blog on regression analysis, we have discussed how machine learning models can predict continuous outcomes, such as house prices or sales revenue, based on input data. While regression models are powerful, their success depends heavily on the quality and relevance of the features or.
Introduction: From Simple to Multiple Linear Regression
In our previous post, we introduced Linear Regression, a fundamental technique used to predict outcomes based on a single factor—such as estimating house prices based on square footage. We also discussed essential performance metrics like Mean Squared Error (MSE) and R-squared, which help assess.
Linear regression basics guide - part 1
In today's data intensive world, data scientists play a crucial role. Their main job is to make sense of large amounts of data, turning it into useful information that can guide decisions. This involves both creative and technical skills, using a range of methods and tools. For beginners, it's.
