Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Growth hormone treatment stimulates growth in short children with chronic renal failure. However, the extent to which this therapy increases final adult height is not known. The children treated ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

Investopedia / Yurle Villegas A variance inflation factor (VIF) is a measure of the amount of multicollinearity in regression ... the model. Multicollinearity exists when there is a linear ...

Investopedia / Xiaojie Liu A Venn diagram is a chart that uses overlapping circles to show the traits that are shared and not shared by two or more sets of things being compared. A Venn diagram is ...

Two separate Keras neural network architectures: A regression network for credit score prediction. A binary classification network for loan status. Threshold optimization for classification using ...

Part 1 is a compulsory course of Basic Statistics with descriptive statistics, parameter estimation and hypothesis test, simple correlation and regression ... structure equation model, multi-level ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...