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StatQuest with Josh Starmer
Neural Networks Part 3: ReLU In Action!!!
Backpropagation Details Part 2: Going bonkers with The Chain Rule
Backpropagation Details Part 1: Optimizing 3 parameters simultaneously.
Neural Networks Part 2: Backpropagation Main Ideas
What is AutoML? A conversation with Gnosis Data Analysis
Neural Networks Part 1: Inside the Black Box
XGBoost in Python from Start to Finish
The Elements of StatQuest (Webinar)
The Chain Rule
Hypothesis Testing and The Null Hypothesis
Alternative Hypotheses: Main Ideas!!!
Support Vector Machines in Python from Start to Finish.
Live 2020-06-15!!! Bootstrapping, Main Ideas
Decision Trees in Python from Start to Finish
Gaussian Naive Bayes, Clearly Explained!!!
Naive Bayes, Clearly Explained!!!
Live 2020-06-01!!! Hypothesis Testing
Ridge vs Lasso Regression, Visualized!!!
Live 2020-05-18!!! Bayes' Theorem
Live 2020-05-04!!! Conditional Probability
Power Analysis, Clearly Explained!!!
Statistical Power, Clearly Explained!!!
p-hacking: What it is and how to avoid it!