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This first video of the #100DaysOfML challenge presents you with a simple definition of machine learning, the areas of application of machine learning as well as the steps to use to build a machine learning model. 00:00 Introduction 00:32 What is machine learning? 01:26 Machine Learning Application Areas 04:04 Machine Learning Categories 06:26 Steps to Build a Machine Learning Model 06:49 Step 1: Problem Definition 07:24 Step 2: Data Collection 08:04 Step 3: Data Processing 09:00 Step 4: Variable Selection 09:44 Step 5: Model Training 10:21 Step 6: Choosing the Best Model 10:37 Step 7: Model Validation 11:14 Bonus Step: Implementation and Unit Testing 11:25 Conclusion --------------------------------------- Resources for this challenge: 1-Machine Learning Course by Andrew Ng: https://www.coursera.org/learn/machin... 2- Deep Learning Course: https://www.coursera.org/specializati... 3-Reinforcement Learning by the University of Alberta https://www.coursera.org/specializati... #100DaysOfML #LeCoinStat #datascience #machinelearning --------------------------------------- FOLLOW LeCoinStat YouTube : https://www.youtube.com/channel/UCoin... Instagram : / lecoin_stat Facebook : / lecoinstat TikTok: https://vm.tiktok.com/ZMLEgAhku/ Discord: / discord