Feature Engineering in Machine Learning
About this lesson
In this video, we discussed the Feature Engineering in Machine Learning. Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. If feature engineering is done correctly, it increases the predictive power of machine learning algorithms by creating features from raw data that help facilitate the machine learning process. #machinelearning #datascience Software engineers like you join Outcome School to achieve the outcome that is a high-paying tech job. Join Outcome School and get a high-paying tech job: https://outcomeschool.com Founder of Outcome School: - Amit Shekhar About Amit Shekhar: Founder @ Outcome School • IIT 2010-14 • I have taught and mentored many developers, and their efforts landed them high-paying tech jobs, helped many tech companies in solving their unique problems, and created many open-source libraries being used by top companies. I am passionate about sharing knowledge through open-source, blogs, and videos. Connect with Amit Shekhar: - X: https://x.com/amitiitbhu - LinkedIn: https://www.linkedin.com/in/amit-shekhar-iitbhu - GitHub: https://github.com/amitshekhariitbhu - YouTube: https://www.youtube.com/@amitshekhar Follow Outcome School: - X: https://x.com/outcome_school - LinkedIn: https://www.linkedin.com/company/outcomeschool - YouTube: https://youtube.com/@OutcomeSchool - GitHub: https://github.com/OutcomeSchool
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