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This Machine Learning Full Course 2025 by Intellipaat is a complete beginner-to-advanced guide designed to help you understand and apply core machine learning concepts in the real world. The course begins with a clear ML roadmap, explaining what machine learning is and diving into key types like supervised, unsupervised, and reinforcement learning. You’ll uncover common myths, explore real-world examples, and understand where machine learning fits in modern industries. As the course progresses, you’ll learn foundational algorithms such as linear regression, including error metrics, hyperboles, intercepts, and hands-on implementation with single and multiple variables. You'll also dive deep into logistic regression, covering concepts like odds, probability, sigmoid function derivation, and practical use cases. Further, the course covers confusion matrix, precision, evaluation on balanced vs. imbalanced data, and hands-on logistic regression training. Advanced topics include Naive Bayes, decision trees, entropy, node types, underfitting vs. overfitting, and key metrics to evaluate your models. The course concludes with important machine learning interview questions to help you prepare for real-world roles in data science and ML engineering. If you're looking to start a career in machine learning in 2025, this course equips you with the theory, tools, and practical knowledge needed to succeed. Below are the topics covered in Machine Learning Course For Beginners 00:00:00 - Introduction to Machine Learning Course 00:01:04 - ML Roadmap 00:10:12 - What is Machine Learning? 00:58:01 - Types of ML: Supervised and Unsupervised Learning 01:16:11 - ML Examples and Myths 02:47:07 - Introduction to Reinforcement Learning 03:30:35 - Linear Regression: Introduction and Examples 03:57:00 - Linear Regression: Errors and Finding the Best Line (Hyperbole/Intercept) 04:19:08 - Linear Regression Hands-On: Single and Multiple Linear Regression 05:17:42 - R-Squared Explained 05:28:25 - Assumptions of Linear Regression 05:39:29 - Logistic Regression: Introduction 06:27:51 - Understanding Odds 06:33:36 - Probability vs. Odds 06:39:24 - Derivation of Sigmoid Function 07:24:03 - Balanced vs. Imbalanced Data 07:31:13 - Confusion Matrix 07:47:51 - Precision Explained 08:05:43 - Hands-On Logistic Regression 08:59:41 - Naive Bayes Explained 09:31:59 - Decision Tree Algorithm 10:00:51 - Understanding Entropy 10:34:14 - Types of Nodes in Decision Trees 10:41:00 - Underfitting vs. Overfitting 10:55:15 - Interview Question #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
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