Category
Advanced Modeling
This category will cover several advanced statistical modeling methods using R or Python, including time series analysis, machine learning, deep learning, forecasting, text mining, network analysis, and Bayesian regression.
80
articles
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views
R Project
Python
Advanced Modeling
7 years ago
NYC buses: C5.0 classification with R; more than 20 minute delay?
Nils Ross
Advanced Modeling
7 years ago
NYC buses: Cubist regression with more predictors
Nils Ross
Advanced Modeling
7 years ago
NYC buses: simple Cubist regression
Nils Ross
Advanced Modeling
7 years ago
Visualization of NYC bus delays with R
Nils Ross
Advanced Modeling
7 years ago
Explaining Black-Box Machine Learning Models – Code Part 2: Text classification with LIME
Shirin Glander
Advanced Modeling
7 years ago
Image clustering with Keras and k-Means
Shirin Glander
Advanced Modeling
7 years ago
‘How do neural nets learn?’ A step by step explanation using the H2O Deep Learning algorithm.
Shirin Glander
Advanced Modeling
8 years ago
Understanding Titanic Dataset with H2O’s AutoML, DALEX, and lares library
Bernardo Lares
Advanced Modeling
8 years ago
K-fold cross-validation in Stan
Lionel Hertzog
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