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Lecture 8 | Normalization, Regularization etc.
Feature Engineering for AI: Transforming Raw Data into Predictions
Lecture 12: Good practices in machine learning – Machine Learning for Engineers
Streamlining Feature Engineering Pipelines with Feature-Engine
Lecture 5: Introduction to Machine Learning – Machine Learning for Engineers
Regularization and Feature Engineering: Ridge, Lasso and Leak-Free Pipelines
Regularization Techniques (Lasso & Ridge Regression) - Part 8
Art of Feature Engineering for Machine Learning by Sandip Pani
Feature Engineering Series Tutorial 3- How to Handle Rare Occurring Labels in Machine Learning
Feature Engineering & Selection: Turn Raw Data Into Better ML Models
Lecture 10: Logistic Regression – Machine Learning for Engineers
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Last Updated: October 15, 2026
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This video is part of the "Artificial Intelligence and Exploratory Data Analysis (EDA) Carnegie Mellon University Course: 11-785, Intro to Deep Ready to become a certified watsonx Data Scientist? Register now and use code IBMTechYT20 for 20% off of your exam ... Get new content delivered in your inbox: bit.ly/SSGRSS) Please note that this a recorded webinar. It was recorded during live ... The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade ...
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