## Stochastic vs Batch vs Mini-Batch Gradient Descent

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...

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...

Numpy is the core library for scientific computing in Python. A NumPy array is a grid of values, all of the same type, and is indexed by a tuple of non-negat...

Grubbs’ test (Grubbs 1969 and Stefansky 1972) is used to detect a single outlier in a univariate data set that follows an approximately normal distribution. ...

Pandas dataframe.groupby() function is used to split the data into groups based on some criteria. pandas objects can be split on any of their axes. The abstr...