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Learn Machine Learning with Python in this Introduction to Machine Learning with Python course. Here is the sequel to the first machine learning course in this machine learning for beginners course. In this tutorial we will look at taking an existing data set and manipulating the data to significantly reduce the error. Machine learning modelling is a great skillset to have that is highly sought after. In this tutorial i will show you the basics of how to set up a machine learning model along with some practical examples. If you are new to python then check out my intro to python course below. In this course we look at linear regression, random forrest, gradient boosting all compared to a dummy regression model. 👉 Patreon: patreon.com/SATSifaction 👉 Facebook Group: / theaiwarriors 👉 Instagram: @theaiwarriors 👉 Corporate Training and Up skilling: https://levers.ai Here is a link to my python for beginners, master python course: https://bit.ly/2HIZS42 What Does a Data Science Executive Carry Around in 2019? Bag - https://amzn.to/2HfHkJo (will fit laptop plus one tablet and a few accessories) Laptop - 2018 MacBook Pro with Touch Bar Tablet - 2017 9.7” iPad or Tablet - Amazon Fire HD 10 - https://amzn.to/2HjeLec Folding Keyboard - https://amzn.to/2JLMbE7 Power Bank - https://amzn.to/2VsNASc Bose QC35 - https://amzn.to/2LEpqEx Home Setup for more intense analysis and editing: AMD MSI Vega 56 Graphics Card - https://amzn.to/2HkiJU1 Razor X Core egpu with thunderbolt 3 - https://amzn.to/2Hix579 Two LG 29” Ultrawide Monitors - https://amzn.to/2YtZfSi Other options to run Python on a budget Raspberry Pi Starters kit - https://amzn.to/2Q4lzPE Any inexpensive Android Tablet (all Fire tablets with playstore side loaded) Minimalist Keyboard and Mouse - https://amzn.to/2Q2w2ek Favourite Mobile Apps to Run Python and Code iOS - Pythonista (paid) - https://apple.co/2HjRVTJ Android - Dcoder (free) - https://bit.ly/2Vrjb6N Favourite VPN (NordVPN, check out their promos) - https://bit.ly/2W87je0 Song: Ark Artist: Ship Wrek, Zookeepers Licensed to YouTube by AEI (on behalf of NCS); Featherstone Music (publishing), BMI - Broadcast Music Inc., and 6 Music Rights Societies