Advanced Modeling
July 4, 2016
Advanced Modeling
Tutorials on advanced statistical and machine-learning models in R and Python — from mixed-effects and Bayesian methods to neural networks, ensembles, and time-series forecasting.
All
Introduction 42
Getting Data 23
Basic Statistics 40
Data Management 39
Visualizing Data 76
Regression Models 43
Advanced Modeling 82
Programming 47
Latest R articles
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Advanced Modeling
June 26, 2016
R for Publication: Lesson 6, Part 1 – Linear Mixed Effects Models
Advanced Modeling
April 29, 2016
Cross-Validation: Estimating Prediction Error
Advanced Modeling
March 19, 2016
Interactive Performance Evaluation of Binary Classifiers
Advanced Modeling
February 4, 2016
Predicting wine quality using Random Forests
Advanced Modeling
January 26, 2016
Bayesian regression with STAN Part 2: Beyond normality
Advanced Modeling
January 22, 2016
Hierarchical Clustering in R
Advanced Modeling
January 8, 2016
Bayesian regression with STAN: Part 1 normal regression
Advanced Modeling
December 28, 2015