Discover aman1391/sbs Open Source project by Aman kapoor (@aman1391)

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Created over 7 years ago
Updated over 7 years ago

aman1391

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sequential backward selection , it is an algorithm which starts with n no of feature and check the accuracy of model with d no of features where n>d and remove the noise by removing the irrevelant features *Chapter 4* dimensionality reduction techniques

H20-learnup

Created a model for the speed of the wind turbine , and created features like speed , direction and t sne distribution and used decision trees to combine the date and the month columns and used glmnet for feature selection Ran a bag of 10's xg boost and secured a rmse of 0.17321 rmse (root mean square estimation ) in public leaderboard but on the private leaderboard leads to overfitting inspite of good CVs . Anyways great learning experience , and I thank analytics vidya for conducting this competition Rank : 12th / 109 participants Team Name : Aegis Team Meambers : Aman Kapoor Anchal Gupta