Summary
Keywords
Full Transcript
This Machine Learning Full Course by Intellipaat is a comprehensive guide designed for beginners and aspiring data professionals looking to master machine learning in 2025. The course starts by answering fundamental questions like "What is Machine Learning?" and "Why is it important today?" before diving into a structured ML roadmap to help you navigate your learning journey. You’ll learn about the different types of machine learning, including supervised and unsupervised learning, and get clarity on commonly misunderstood ML myths through practical examples. The course also introduces reinforcement learning and explains its significance in modern AI systems. From there, you’ll dive deep into core algorithms starting with linear regression—covering errors, best-fit lines, R-squared, and practical hands-on implementation with real data. You'll also master logistic regression by exploring odds, probability, the sigmoid function, and its real-world applications. Key evaluation techniques such as confusion matrix, precision, and handling imbalanced datasets are also explained in detail. You’ll also explore data preprocessing methods like standardization vs. normalization, and then move on to decision trees and K-Means clustering. To wrap up, the course ends with a set of essential machine learning interview questions to help you prepare for job opportunities in the field. Below are the topics covered in Machine Learning Course For Beginners 00:00:00 - Introduction to Machine Learning Course 00:01:14 - What is ML? 00:04:25 - ML Roadmap 00:13:33 - What is Machine Learning? 01:01:01 - Types of ML: Supervised and Unsupervised Learning 01:19:11 - ML Examples and Myths 02:50:07 - Introduction to Reinforcement Learning 03:33:35 - Linear Regression: Introduction and Examples 04:00:00 - Linear Regression: Errors and Finding the Best Line (Hyperbole/Intercept) 04:22:08 - Linear Regression Hands-On: Single and Multiple Linear Regression 05:20:42 - R-Squared Explained 05:31:25 - Assumptions of Linear Regression 05:42:29 - Logistic Regression: Introduction 06:30:51 - Understanding Odds 06:36:36 - Probability vs. Odds 06:42:24 - Derivation of Sigmoid Function 07:27:03 - Balanced vs. Imbalanced Data 07:34:13 - Confusion Matrix 07:50:51 - Precision Explained 08:08:43 - Hands-On Logistic Regression 08:30:53 - Standardization vs. Normalization 08:38:23 - Decision Tree Algorithm 10:01:00 - K-Means Clustering 10:56:11 - Interview Questions #machinelearningcourse #machinelearningfullcourse #machinelearningtutorial #intellipaat 🔥Enroll for Intellipaat's Machine Learning Course: https://intellipaat.com/machine-learning-certification-training-course/ ➡️ About the Course Gain expertise in Artificial intelligence and Machine Learning through an Executive Post Graduate Certification program in AI and ML offered by iHUB DivyaSampark, a Technology Innovation Hub of IIT Roorkee, in collaboration with Intellipaat This AI and ML program is in collaboration with tech giants Microsoft. Get classes and guidance directly from IIT Faculty and industry experts, with personalized 1:1 mentorship. Become IIT certified AI and ML expert with this online BootCamp. 📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb ▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers 📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
