Machine Learning and Predictive Analytics - Continuous and Categorical Features (Cardinality)
Machine Learning and Predictive Analytics. #MachineLearning Learn More: amzn.to/2Ds5iML (Fundamentals Of Machine Learning for Predictive Data Analytics). Features are the term used for the columns in the analytics base table (ABT). All features can be classified as either categorical or continuous. Categorical features have one of few values, where the choices are categories (such as less than 50 or greater than 50). Continuous features have many possible options for values. Starting out, we are going to be using an algorithm (ID3) that works best with categorical data. This online course covers big data analytics stages using machine learning and predictive analytics. Big data and predictive analytics is one of the most popular applications of machine learning and is foundational to getting deeper insights from data. Starting off, this course will cover machine learning algorithms, supervised learning, data planning, data cleaning, data visualization, models, and more. This self paced series is perfect if you are pursuing an online computer science degree, online data science degree, online artificial intelligence degree, or if you just want to get more machine learning experience. Enjoy! Check out the entire series here: www.youtube.com/playlist?list=PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w&playnext=1 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Support me! www.patreon.com/calebcurry Subscribe to my newsletter: eepurl.com/-8qtH Donate!: bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: CalebCurry.com Facebook: www.facebook.com/CalebTheVideoMaker Google+: plus.google.com/+CalebTheVideoMaker2 Twitter: twitter.com/calebCurry Amazing Web Hosting - www.dreamhost.com/r.cgi?1487063 (The best web hosting for a cheap price!)
