I think, whoever starts to learn Machine Learning, checks out the Machine Learning Class by Andrew Ng. I was not an exception. But the mathematical equations and all the formulae made me rea… Read More

I was trying to follow the Machine Learning class of Andrew Ng and was soon got overwhelmed with all the mathematical representations and the equations. I decided to take small baby steps an… Read More

Overfitting a model is a real problem you need to beware of when performing regression analysis. An overfit model result in misleading regression coefficients, p-values, and R-squared&n… Read More

How to run simple and multiple linear regression models? : EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore) Today, I will dem… Read More

By Ishan Shah Is it possible to predict where the Gold price is headed? Yes, let’s use machine learning regression techniques to predict the price of one of the most important pr… Read More

Logistic Regression is a technique to predict a Categorical Variable Outcome based on one or more input variable(s). Logistic Regression is a classification algorithm. For binary categorical… Read More

Statistical Regression analysis provides an equation that explains the nature and relationship between the predictor variables and response variables. For a linear regression analysis, follo… Read More

The premise is this quote from vignette of R package betareg1. Further-more, the model shares some properties (such as linear predictor, link function, dispersion parameter) with generalized… Read More

By Ishan Shah Is it possible to predict where the Gold price is headed? Yes, let’s use machine learning regression techniques to predict the price of one of the most important pr… Read More

Catalogue 1.Overview 2.Practice 2.1.Environment 2.2.Train & Evaluate（Python+TensorFlow） 2.3.Test（Android+Tenso… Read More