Daimler is challenging Kagglers to tackle the curse of dimensionality and reduce the time that cars spend on the test bench. Provided with a dataset representing different permutations of the Mercedes-Benz car features to predict the time it takes to pass testing. Winning algorithms will contribute to speedier testing, resulting in lower carbon dioxide emissions without reducing Daimler’s standards.
This here is the innitial analysis to help with understanding the dataset better before the training and predictions.
More updates coming.....