Aurangazeeb A KinTowards Data ScienceThe Story of Missing DataA quick explanation of how important missing data in Machine Learning and how to deal with itDec 28, 2019Dec 28, 2019
Chaima EnnarImbalanced data“Welcome to the real world, it sucks and you are going to love it !”Dec 23, 2019Dec 23, 2019
Enniye TimiebiA Logistic Regression Model To Predict Stroke Occurrence With An Imbalanced Dataset I.Stroke is a disease that affects the arteries leading to and within the brain. According to the American Stroke Association, it is the №5…Dec 8, 2019Dec 8, 2019
Swanand MhalagiinTowards Data ScienceConquer Class Imbalanced Dataset Issues using GANsDC-GAN to generate images of certain class types to improve image classificationDec 3, 20193Dec 3, 20193
Kyosuke MoritainTowards Data ScienceProbability Calibration for Imbalanced DatasetA suggestion to Undersampling methodNov 18, 20192Nov 18, 20192
Javier Rodriguez ZaurininTowards Data ScienceLightGBM with the Focal Loss for imbalanced datasetsThe Focal loss (hereafter FL) was introduced by Tsung-Yi Lin et al., in their 2018 paper “Focal Loss for Dense Object Detection”[1]. It is…Oct 6, 20193Oct 6, 20193
Kyosuke MoritainAnalytics VidhyaCan We Predict a Price Adjustment in an Online Supermarket by Using Machine Learning and…This series walks through my Master’s dissertation, which was not only my first end-to-end machine learning project but also it was a…Oct 2, 2019Oct 2, 2019
Timothy MangoinDataDrivenInvestorA Machine Learning Model that can Identify Harmful Waste SitesThe code for this project can be accessed here:Sep 30, 2019Sep 30, 2019
Naomi NguyenPredict customer response to marketing campaign — A comprehensive tour to predictive modeling (P1)Last updated: Sept 30, 2019Sep 30, 2019Sep 30, 2019
