Mathematics for Data science professionals https://www.youtube.com/watch?v=H4hzYjhEEaQ For more such videos visit http://www.questpond.com For more such videos subscribe https://www.youtube.com/questpondvideos See our other Step by Step video series below :- JavaScript Interview Questions: https://youtu.be/Zb4dPi7CANU Python Tutorial for Beginners:- https://youtu.be/KjJ7WzEL-es Learn Data Science in 1 hour :- https://tinyurl.com/y5o7qbau Learn Power BI Step by Step:- https://tinyurl.com/y6thhkxw PHP Interview Questions : https://youtu.be/1bpNSynUrl8 Learn MSBI Step by Step in 32 hours:- https://goo.gl/TTpFZN Learn Tableau step by step :- https://tinyurl.com/kh6ojyo Learn SQL Server Step by Step http://tinyurl.com/ja4zmwu C# tutorial for beginners(4 hrs):- https://youtu.be/AxEGRBFwlmI ASP.NET MVC Core Interview Questions with answers:- https://youtu.be/pXmMdmJUC0g C# interview questions and answers:- https://youtu.be/BKynEBPqiIM Learn Azure Step by Step:- https://youtu.be/wdUK7bCMXqs Azure AZ-900 fundamentals certification :- https://youtu.be/hC9iGgJorz8 Angular Interview Questions and Answers :- https://youtu.be/-jeoyDJDsSM Learn Angular tutorial step by step https://tinyurl.com/ycd9j895 Learn Angular tutorial step by step https://tinyurl.com/ycd9j895 Learn MVC Core step by step :- http://tinyurl.com/y9jt3wkv Learn C# Step by Step https://goo.gl/FNlqn3 Learn Design Pattern Step by Step https://goo.gl/eJdn0m Learn SharePoint Step by Step in 8 hours:- https://goo.gl/XQKHeP This video will teach you how to use C# ml.net for machine learning. Timestamp - 00:00 Introduction 1:51 - Chapter 1 - Defining Artificial intelligence and Machine Learning. 2:55 - Chapter 2 - Fundamentals of Training data, Features, Label, Algorithm and Model. 5:30 - Chapter 3 - Creating the feedback predictive system. 6:19 - Chapter 4 - Pre-requisites for doing ML.NET. 10:26 - Chapter 5 - Defining the class structure of training data. 11:37 - Chapter 6 - Creating feedback system training data. 15:13 - Chapter 7 - ML.NETContext and IDataView. 17:37 - Chapter 8 - Transforms, FeatureText and Vectors. 19:01 - Chapter 9 - ML.NET Pipeline. 20:46 - Chapter 10 - Choosing the Algorithm - Binary classification. 24:05 - Chapter 11 - Creating the final MODEL. 25:00 - Chapter 12 - Testing Accuracy of the MODEL. 33:48 - Chapter 13 - Using the MODEL. 44:25 - Chapter 14 - Revisiting the full flow of ML.NET process. ----------------------------------------------------------------------------------------------- For more details :- 🌐 Website : www.questpond.com 📱 Mob. No. : +91-9967590707 / +91 7700975156 / +91-22-49786776 📧Email : questpond@questpond.com / questpond@gmail.com / questpond@yahoo.com Share, Support, Subscribe and Connect us on!!! YouTube: https://www.youtube.com/questpondvideos Twitter: https://twitter.com/questpond Instagram : https://www.instagram.com/questpond/ Facebook : https://www.facebook.com/Questpond/ #MachineLearning #C#MachineLearningTutorial #MachineLearningStepbyStep #MachineLearningTutorialforBeginners #MachineLearninginC# #ML.NETCSharp