To do any data science of value we need models that accurately represent our data set. Here’s how to evaluate a model’s fit to your training data.
A Primer on Graph-Theoretic Models and Metrics: Using Graphs for Modeling and Assessing Robustness
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Anscombe's Quartet: What Is It and Why Do We Need It?
PERFECT FIT LIP PRIMER
Help in interpreting PRIMER model fit analysis?
An Introduction to Bias-Variance Tradeoff
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An Introduction to Dimensionality Reduction in Python
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Convolution Neural Network, PDF, Deep Learning
Decision Tree Classification
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All stories published by Towards Data Science on July 17, 2019
T-test vs. Chi-Square: Which Test Should You Use?
