Machine Learning with Scikit-Learn - Part 2

Full Hands-on ML Course on Udemy (send me an email for discount): http://bit.ly/3aw2Q9E Teach yourself Python with my $9.99 course ($69 value): http://bit.ly/37cmhlx In this machine learning series I will work on the Wisconsin Breast Cancer dataset that comes with scikit-learn. I will train a few algorithms and evaluate their performance. I will use ipython (Jupyter) and the code will be available on github. Companion Android App: https://play.google.com/store/apps/details?id=com.cristivlad.machinelearning The code: https://github.com/CristiVlad25/ml-sklearn/blob/master/Machine%20Learning%20with%20Scikit-Learn%20-%20The%20Cancer%20Dataset%20-%202.ipynb Paperspace credit: https://paperspace.io/&R=FMXH1BN DigitalOcean credit: https://m.do.co/c/efe4365e60bd Books I recommend to learn Machine Learning and Deep Learning: 1. Muller & Guido - Machine Learning with Python: https://amzn.to/2Xc0bxS 2. Aurelien Geron - Hands-on Machine Learning: https://amzn.to/2Ri9yqk 3. Ian Goodfellow - Deep Learning: https://amzn.to/31LvHSW 4. Francois Chollet - Deep Learning with Python: https://amzn.to/2KSDvfp It helps me tremendously if you support these educational videos: https://www.patreon.com/cristivlad If you're a Youtuber, how can you survive without TubeBuddy?: http://bit.ly/37dgFYr Connect with me: Linkedin: https://www.linkedin.com/in/cristivlad/ Twitter: https://twitter.com/CristiVlad25 Facebook page: https://www.facebook.com/CristiVladZ/ Facebook group: https://www.facebook.com/groups/codingintelligence/ Paperspace credit: https://paperspace.io/&R=FMXH1BN DigitalOcean credit: https://m.do.co/c/efe4365e60bd In this video: - the pre-requisites and imports necessary for the tutorial if you want to code along. More recommended readings: 1. Prateek Joshi: Artificial Intelligence with Python - https://amzn.to/2X1Mt0q