REGRESSION ANALYSIS Regression analysis is a statistical technique for studying the linear relationships. Purpose of Regression analysis Regression analysis is done for one of two purposes. To predict which independent variables have an impact on dependent variable. To estimate the effect of some explanatory variable on the dependent variable. LINEAR REGRESSION Linear regression is a machine learning algorithm…

PARAMETRIC MODEL In a parametric model, the number of parameters is fixed with respect to the sample size. It must satisfy all the assumptions. A learning model that memorizes the data with the help of parameters given (i.e. independent features )is called linear/parametric model. Benefits of Parametric Machine Learning Algorithms: Explainability is…

There are various pipelines in Data science projects with machine learning used cases like Data gathering, Feature Engineering, Feature selection, Model creation, Model deployment. TRAIN TEST SPLIT Before model creation we will be doing Train test split, on the entire data. Suppose if you are having 1000 data points, Assume we are splitting it into train 70% test 30 % or 80% train 20 % test based on the data you have.

Hi Welcome ,This was my first blog, so thanks for medium platform to providing this opportunity. since I was very passionate in learning new technologies and I love to share the stuff which I came across my learning. …