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
source