28 Introduction to Machine Learning using pyspark 🚀| Linear and Logistic regression covered
Notes Link : https://github.com/rajatkumar0308/Pyt...
🔥 PySpark with ML for Beginners Playlist:- • PySpark with ML for Beginners | Introducti...
🔥OOPS Tutorials for Beginners:- • Complete OOPS in 1 Video 🔥 | Object Encaps...
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Embark on your machine learning journey with this in-depth tutorial on "Machine Learning in AI"! 🚀 Learn how machine learning fits into the AI landscape, understand its core concepts like regression and classification, and discover its powerful real-world applications in banking, healthcare, and beyond. With a focus on Python programming and practical coding, this video breaks down complex ideas into simple, actionable steps designed to enhance your tech education and coding skills.
Join our expert host as they share years of industry experience and walk you through key algorithms, including logistic regression, linear regression, and supervised vs. unsupervised learning. Get hands-on with real-life examples and downloadable code to run on your own. By the end of this video, you'll unlock the potential of machine learning to solve real-world problems and boost your expertise in data-driven decision making.
Engage with our community of learners and stay ahead in tech—like, comment, and subscribe to keep learning and growing with us. Don’t miss this chance to level up your understanding of machine learning and AI! Happy learning! 🌟
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CHAPTERS:
00:00 - Intro
01:31 - What is Machine Learning
07:15 - Types of Machine Learning
11:58 - Regression Techniques
13:14 - Understanding Regression
16:40 - Linear Regression Explained
23:37 - Logistic Regression Overview
26:51 - Confusion Matrix Analysis
27:11 - True Positive Definition
28:25 - False Negative Explained
29:37 - True Negative Definition
30:47 - False Positive Explained
31:37 - End
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