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RAR-files |
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| Archived
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Introduction to Bayesian Analysis in Python [Video]\Exercise Files\code_32352.zip |
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Introduction to Bayesian Analysis in Python [Video]\1.Introduction and Theory\02.Statistical Modeling.mp4
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Introduction to Bayesian Analysis in Python [Video]\1.Introduction and Theory\01.The Course Overview.mp4
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Introduction to Bayesian Analysis in Python [Video]\1.Introduction and Theory\05.The Coin-Flipping Problem (PyMC3).mp4
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Introduction to Bayesian Analysis in Python [Video]\1.Introduction and Theory\04.The Coin-Flipping Problem (Theory).mp4
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Introduction to Bayesian Analysis in Python [Video]\2.Parametric Models\07.Linear Regression.mp4
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Introduction to Bayesian Analysis in Python [Video]\2.Parametric Models\10.Logistic Regression - Example.mp4
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Introduction to Bayesian Analysis in Python [Video]\2.Parametric Models\06.Multiparametric Models.mp4
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Introduction to Bayesian Analysis in Python [Video]\2.Parametric Models\09.Logistic Regression -Introduction.mp4
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Introduction to Bayesian Analysis in Python [Video]\2.Parametric Models\08.Hierarchical Linear Regression.mp4
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Introduction to Bayesian Analysis in Python [Video]\4.Final Project - Observing the Dark World\16.PyMC3 Implementation.mp4
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Introduction to Bayesian Analysis in Python [Video]\4.Final Project - Observing the Dark World\14.Choosing Priors.mp4
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Introduction to Bayesian Analysis in Python [Video]\4.Final Project - Observing the Dark World\17.Training and Results.mp4
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