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Mastering Linear Regression: The Definitive Guide For Aspiring Data Scientists What can we mean by “regression evaluation”? Understanding correlation The difference between correlation and regression The Linear Regression...

All you should learn about Linear Regression is here (including an application in Python)Whatever the incontrovertible fact that we’ve obtained an R² of 0.73 on the test set which is sweet (but remember: the...

Cracking the Code: Mastering Text Classification with Python

Text classification is the technique of robotically categorizing text into predefined categories. That is a crucial task in natural language processing and machine learning, because it enables us to prepare and make sense of...

Mastering the Art of Regression Evaluation: 5 Key Metrics Every Data Scientist Should Know The residuals 1. The mean squared error (MSE) 2. The basis mean square...

The definitive guide on all of the knowledge it's best to have on the metrics utilized in regression evaluationNormally, it is strongly recommended to make use of the adjusted R² when we now have...

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