Random Forests - The Math of Intelligence (Week 6)

This is one of the most used machine learning models ever. Random Forests can be used for both regression and classification, and our use case will be to assess whether someone is credible or not by analyzing their financial history! DL nanodegree open for another round! we'll pick one random student that signs up in next 24 hrs to collab w/ me one-on-one on a DL music project https://www.udacity.com/course/deep-learning-nanodegree-foundation--nd101 Code for this video: https://github.com/llSourcell/random_forests Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: https://ujjwalkarn.me/2016/05/30/a-curated-list-of-python-tutorials-for-data-science-nlp-and-machine-learning/ https://www.coursera.org/learn/machine-learning-data-analysis/lecture/eTO92/building-a-random-forest-with-python https://github.com/kevin-keraudren/randomforest-python http://kldavenport.com/pure-python-decision-trees/ http://blog.yhat.com/posts/random-forests-in-python.html https://www.analyticsvidhya.com/blog/2016/04/complete-tutorial-tree-based-modeling-scratch-in-python/ http://machinelearningmastery.com/implement-decision-tree-algorithm-scratch-python/ http://machinelearningmastery.com/implement-random-forest-scratch-python/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/