Author: The math behind ANN (ANN- Part 2)
Discussing the theory behind ANN and the math behind back-propagation.
CART classification
Step by step explanation of CART decision tree classification using Titanic dataset.
Curse of dimensionality
Explaining the curse of dimensionality using a relevant example
CHAID decision trees
Step by step explanation of CHAID decision trees using the Titanic data set
K means clustering
K means clustering explained using customer segmentation in R. Touches on Silhouette statistic, Calinski and Harabasz index and Elbow curve.
Exploratory factor analysis
After a brief introduction to PCA and CFA, hypothesis tests like KMO,Bartlett’s test of sphericity are introduced. In PCA, Scree plot, eigenvalues, validation and interpreting the factors is discussed.
Stationarity tests
Dickey fuller unit root test and Ljung box independence tests are discussed using attendance data set.
Hierarchical Clustering
Blog on hierarchical clustering using dendogram for beer customer segmentation.
Stationarity
Discussion about stationary, random walk, deterministic drift and other vocabulary related to time series
ARIMA
ARIMA using the Box-Jenkins approach. Discussed Dickey fuller, Ljung−Box Test and KPSS tests. Built and validated a forecast for in-time data in attendance data.