EPISODE · Feb 19, 2019 · 30 MIN
Kaggle Earthquake Prediction Challenge
from Siraj Raval
Data Science coding challenge time! The popular Data Science competition website Kaggle has an ongoing competition to solve the problem of earthquake prediction. Given a dataset of seismographic activity from a laboratory simulation, participants are asked to create a predictive model for earthquakes. In this video, I'll attempt the challenge as a way to teach 3 concepts; the Data Science mindset, Categorical Boosting, and Support Vector Regression models. I'll be coding this using python from start to finish in the online Google colab environment. Enjoy! Code for this video: https://github.com/llSourcell/Kaggle_Earthquake_challenge Please Subscribe! And Like. And comment. Thats 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 Join us at the School of AI: https://theschool.ai/ More learning resources: https://www.kaggle.com/c/LANL-Earthquake-Prediction/data https://www.analyticsvidhya.com/blog/2017/08/catboost-automated-categorical-data/ https://blog.griddynamics.com/xgboost-vs-catboost-vs-lightgbm-which-is-best-for-price-prediction/ https://towardsdatascience.com/catboost-vs-light-gbm-vs-xgboost-5f93620723db https://accio.github.io/machinelearning/2018/05/30/catboost.html http://kernelsvm.tripod.com/ https://www.saedsayad.com/support_vector_machine_reg.htm https://medium.com/coinmonks/support-vector-regression-or-svr-8eb3acf6d0ff https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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
What this episode covers
Data Science coding challenge time! The popular Data Science competition website Kaggle has an ongoing competition to solve the problem of earthquake prediction. Given a dataset of seismographic activity from a laboratory simulation, participants are asked to create a predictive model for earthquakes. In this video, I'll attempt the challenge as a way to teach 3 concepts; the Data Science mindset, Categorical Boosting, and Support Vector Regression models. I'll be coding this using python from start to finish in the online Google colab environment. Enjoy! Code for this video: https://github.com/llSourcell/Kaggle_Earthquake_challenge Please Subscribe! And Like. And comment. Thats 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 Join us at the School of AI: https://theschool.ai/ More learning resources: https://www.kaggle.com/c/LANL-Earthquake-Prediction/data https://www.analyticsvidhya.com/blog/2017/08/catboost-automated-categorical-data/ https://blog.griddynamics.com/xgboost-vs-catboost-vs-lightgbm-which-is-best-for-price-prediction/ https://towardsdatascience.com/catboost-vs-light-gbm-vs-xgboost-5f93620723db https://accio.github.io/machinelearning/2018/05/30/catboost.html http://kernelsvm.tripod.com/ https://www.saedsayad.com/support_vector_machine_reg.htm https://medium.com/coinmonks/support-vector-regression-or-svr-8eb3acf6d0ff https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ 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
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Kaggle Earthquake Prediction Challenge
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