Machine Learning Full Course (2025) | Machine Learning Course FREE | Intellipaat
456Welcome to Machine Learning Full Course 2025 by Intellipaat. This course is designed for absolute beginners who are having foundational knowledge of Python programming, NumPy and Pandas. From there on this course will help you build solid machine learning understanding by taking you through multiple ML algorithms and their practical implementations. This course will start by taking you through the Introduction to Machine Learning, Types of Machine Learning, alongside some of the Myths and examples of ML in action.
Later, you'll dive into Linear and Logistic Regression, exploring the fundamental mathematical notion behind these algorithms, evaluation metrics, and how to implement them hands-on. Topics like R-squared, sigmoid function, confusion matrix, and precision are explained clearly for deeper understanding. Following, you'll go through Naive Bayes, the Decision Tree algorithm, and key concepts like entropy, underfitting vs. overfitting, to make sure you're ready to deal with any data challenge. In the end, this video will run you through the most commonly asked machine learning interview questions, to give you an idea about what you can expect at a fresher level interview. This course is your ultimate destination to learn machine learning and crack ML jobs for absolutely free.
Below are the topics covered in Machine Learning Course For Beginners
00:00:00 – Introduction to Machine Learning Course
00:02:33 – What is Machine Learning?
00:50:01 – Types of ML: Supervised and Unsupervised Learning
01:08:11 – Machine Learning Examples and Myths
02:39:07 – Introduction to Reinforcement Learning
03:22:35 – Linear Regression: Introduction and Examples
03:49:00 – Errors & Best Fit Line (Hyperbole/Intercept)
04:11:08 – Hands-On: Single & Multiple Linear Regression
05:09:42 – R-Squared Explained
05:20:25 – Assumptions of Linear Regression
05:31:29 – Logistic Regression: Introduction
06:19:51 – Understanding Odds
06:25:36 – Probability vs. Odds
06:31:24 – Sigmoid Function Derivation
07:16:03 – Balanced vs. Imbalanced Data
07:23:13 – Confusion Matrix
07:39:51 – Precision Explained
07:57:43 – Hands-On: Logistic Regression
08:51:41 – Naive Bayes Explained
09:23:59 – Decision Tree Algorithm
09:52:51 – Understanding Entropy
10:26:14 – Types of Nodes in Decision Trees
10:33:00 – Underfitting vs. Overfitting
10:47:36 – Interview Questions
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🔥 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.
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