In this video we will explore the most important hyper-parameters of Decision tree model and how they impact our model in term of over-fitting and under-fitt...
The Augmented Dickey Fuller Test (ADF) is unit root test for stationarity. It checks if your time series is stationary or not. A stationary time series is on...
T-test, is used to determine whether the means of two groups are equal to each other. The assumption for the test is that both groups are sampled from normal...
Batch gradient descent computes the gradient using the whole dataset whereas Stochastic uses one training example and Mini-Batch uses a batch of 32 or 64 sam...
The Generalized Extreme Studentized Deviate (ESD) Test is a statistical test for outliers. It is used on univariate data which follows an approximately norma...