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_challenge Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More Learning Resources: https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners https://www.kaggle.com/rtatman/beginner-s-tutorial-python https://machinelearningmastery.com/gentle-introduction-xgboost-applied-machine-learning/ http://blog.kaggle.com/2017/01/23/a-kaggle-master-explains-gradient-boosting/ 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