Advanced Modeling
November 11, 2018
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 44
Getting Data 26
Basic Statistics 44
Data Management 42
Visualizing Data 77
Regression Models 46
Advanced Modeling 84
Programming 51
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Advanced Modeling
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‘How do neural nets learn?’ A step by step explanation using the H2O Deep Learning algorithm.
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Understanding Titanic Dataset with H2O’s AutoML, DALEX, and lares library
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K-fold cross-validation in Stan
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Automated Text Feature Engineering using textfeatures in R
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Explaining Keras image classification models with LIME
Advanced Modeling
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Image classification with keras in roughly 100 lines of code
Advanced Modeling
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R vs Python: Image Classification with Keras
Advanced Modeling
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