Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

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. This can be ...

Learn what heteroscedasticity means, its types, and how it affects financial models. Understand the intricacies of volatility ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

Students will gain a thorough understanding of basic analysis methods, elementary concepts, statistical models and applications of probability, commonly used sampling distributions, parametric and non ...

Prediction is often the primary goal of data analysis. In this work, we propose a novel model averaging approach to the prediction of a functional response variable. We develop a crossvalidation model ...

Fuzzy Regression Models and Analysis Publication Trend The graph below shows the total number of publications each year in Fuzzy Regression Models and Analysis.