In this episode, I took advantage of more than one free data science course, mused over mappings for R, and helped myself to a heap of helper functions with R package ‘mlmhelpr’.
References:

The Hybrid Model of Autoregressive Integrated Moving Average and Fuzzy Time Series Markov Chain on Long Memory Data
Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery
A supervised topic embedding model and its application
Shrinkage estimators of large covariance matrices with Toeplitz targets in array signal processing
SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method
TDApplied version 2.0.0
Issues While Switching R to UTF-8 and UCRT on Windows
Datacamp Free Access Week
Map any region in the world with R – Part II: Obtaining the coordinates
R ggmap – How to Visualize Spatial Data in R

R-packages:

cauchypca: Robust Principal Component Analysis Using the Cauchy Distribution
nett: Network Analysis and Community Detection
pwrss: Power and Sample Size Calculation Tools
SASdates: Convert the Dates to 'SAS' Formats
planningML: A Sample Size Calculator for Machine Learning Applications in Healthcare
mlmhelpr: Multilevel/Mixed Model Helper Functions
ExomeDepth: Calls Copy Number Variants from Targeted Sequence Data

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