Feature Engineering | Process of Feature Engineering | Great Learning

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Understanding what parameters or features has what level of impact on the solution to a Machine Learning problem statement is key. If the talk is about using machine learning to solve a problem, then providing the algorithm with high-quality features is what makes the difference between a raw machine learning model and a very well-optimized one. Feature engineering is the most critical aspect of working with data and helping the machine understand the same. This is a skill that all analysts, data scientists, and machine learning engineers must possess. Now, keeping exactly this in mind, we have come up with this course on Feature Engineering to get you all started with the same. The instructor will also be covering a hands-on demonstration with an ample amount of examples to help concrete your understanding.

00:00:00 - Introduction
00:01:34 - Agenda
00:03:56 - Introduction to Feature Engineering
00:13:23 - Feature Engineering in Machine Engineering
00:21:47 - Goal of Feature Engineering
00:24:06 - Feature Engineering is an art
00:26:49 - Process of Feature Engineering
00:34:52 - Feature Engineering Techniques
00:56:18 - Correlation Matrix
00:58:16 - Underfitting and Fitting
01:05:26 - Practical Demonstration using Python
01:24:32 - Summary

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