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Ridge regression is a neat little way to ensure you don't overfit your training data essentially, are desensitizing model the data. Fitting a line to data is actually pretty straightforward. The concepts behind linear regression, fitting a line to data with least squares and rsquared, are pretty darn simple, so let's get down it.
In this statquest, i go over the main ideas s. Bias and variance are two fundamental concepts for machine learning, their intuition is just a little different from what you might have learned in your. Logistic regression is a traditional statistics technique that also very popular as machine learning tool.