PinnedJames Andrew GodwininTowards Data ScienceAn Introduction to Supervised LearningThe one with an example of the Naive Bayes classification algorithm·22 min read·Feb 26, 2022----
PinnedJames Andrew GodwininTowards Data ScienceAn Introduction to Linear RegressionRegression is used primarily if you wish to predict or explain numeric data·19 min read·Mar 8, 2021----
PinnedJames Andrew GodwininTowards Data ScienceBayesian StatisticsHard to believe there was once a controversy over probabilistic statistics·17 min read·Feb 25, 2021----
PinnedJames Andrew GodwininTowards Data ScienceBootstrap ResamplingNo, not Twitter Bootstrap — this bootstrapping is a way of sampling data, and it is one of the most important to consider what underlies…·8 min read·Feb 2, 2021--1--1
James Andrew GodwininTowards Data ScienceTime Series Analysis“It’s tough to make predictions, especially about the future!” — Yogi Berra·42 min read·Jun 14, 2021----
James Andrew GodwininTowards Data ScienceLogistic RegressionOr how I learned to love the sigmoid “squishification” function for categorical data classification·6 min read·Apr 13, 2021----
James Andrew GodwininTowards Data ScienceRidge, LASSO, and ElasticNet RegressionThe continuing adventures of regularization and the eternal quest to prevent model overfitting!·19 min read·Apr 2, 2021----
James Andrew GodwininTowards Data ScienceRegularization and Linear RegressionThe one where we correct overfitting·22 min read·Mar 25, 2021----
James Andrew GodwininTowards Data ScienceLinear Regression With BootstrappingThere were others who had forced their way to the top from the lowest rung by the aid of their bootstraps·9 min read·Mar 13, 2021--2--2
James Andrew GodwininTowards Data ScienceMultivariant Linear RegressionOh boy, homoscedasticity!·11 min read·Mar 12, 2021----