Welcome 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 #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 sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930