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Showing posts with the label lightgbm

LightGBM and Kaggle's Mercari Price Suggestion Challenge

Another post starts with you beautiful people! I hope you have enjoyed and must learnt something from previous two posts about real world machine learning problems in Kaggle. As I said earlier Kaggle is a great platform to apply your machine learning skills and enhance your knowledge; today I will share again my learning from there with all of you! In this post we will work upon an online machine learning competition where we need to predict the the price of products for Japan’s biggest community-powered shopping app. The main attraction of this challenge is that this is a Kernels-only competition; it means the datasets are given for downloading only in stage 1.In next final stage it will be available only in Kernels. What kind of problem is this? Since our goal is to predict the price (which is a number), it will be a regression problem. Data: You can see the datasets  here Exploring the datasets: The datasets provided are in the zip format of 'tsv'. So how can ...