Kaggle Challenge (LIVE)

Join me as I attempt a Kaggle challenge live! In this stream, i'm going to be attempting the NYC Taxi Duration prediction challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook. Get hype! Code for this video: https://github.com/llSourcell/kaggle_... Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter:   / sirajraval   instagram:   / sirajraval   Facebook:   / sirajology   This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine... More Learning Resources: https://www.kaggle.com/kanncaa1/machi... https://www.kaggle.com/rtatman/beginn... https://machinelearningmastery.com/ge... http://blog.kaggle.com/2017/01/23/a-k... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.co