TDSM 7.23
From The Data Science Design Manual Wikia
Revision as of 19:26, 11 December 2017 by Anjul.tyagi (talk | contribs) (Created page with "The correlation coeff. will show how each metric is related to the final results. We can use feature selection to see how effective a feature is in predicting the results. Som...")
The correlation coeff. will show how each metric is related to the final results. We can use feature selection to see how effective a feature is in predicting the results. Some feature selection algorithms are Linear Regression, Random-Forest and Randomised Lasso.
