Dive into the world of Machine Learning with this complete beginner-friendly course by Intellipaat! Whether you're just starting your data science journey or looking to solidify your understanding of ML fundamentals, this course has everything you need. You'll begin with Python and Pandas for data analysis, followed by Matplotlib for creating powerful data visualizations. Once your foundation is set, we’ll guide you into the core of Machine Learning - covering real-world applications, debunking common myths, and exploring the different types of learning models. From regression basics to advanced topics like Variance Inflation Factor (VIF), this course provides a thorough walkthrough of Linear and Logistic Regression, complete with step-by-step hands-on projects. You’ll build spam classifiers, learn the math behind sigmoid functions, and master evaluation metrics like Log(Odds) and Maximum Likelihood Estimates. As the course progresses, you'll explore essential algorithms like Decision Trees, Random Forest, and K-Means Clustering, along with model building, encoding, hyperparameter tuning, and performance evaluation. Packed with theory, practical examples, and real-world projects, this course will equip you with the skills to confidently tackle ML challenges and prepare for a successful career in data science and AI. Below are the topics covered in Machine Learning Course For Beginners 00:00:00 - Introduction to Machine Learning Course 00:01:05 - Python for Data Science 00:04:06 - Pandas for Data Science 01:10:09 - Data Visualization with Matplotlib 02:02:24 - Machine Learning Around You 02:09:08 - Introduction to Machine Learning 02:29:33 - Machine Learning Myths 02:43:02 - Types of Machine Learning 02:58:05 - What You Can Do with Machine Learning 03:04:08 - What is Regression? 03:13:40 - Types of Regression 03:15:25 - What is Linear Regression? 03:45:41 - Evaluation Metrics Section 3: Linear Regression Advanced 03:56:38 - Variance Inflation Factor (VIF) 04:01:28 - VIF Formula 04:11:34 - Linear Regression Hands-on 05:07:29 - Introduction to Machine Learning 05:08:00 - Introduction to Logistic Regression 05:27:43 - What is Logistic Regression? 05:31:07 - Example: Spam Email Classifier 05:31:33 - Step 01: Independent Variable & Common Spam Words 05:33:31 - Step 02: Probability 05:40:08 - Log(Odds) 05:44:28 - Sigmoid Function 05:47:55 - Individual Likelihood and Log(Likelihood) 05:49:44 - What Does Log(Odds) Mean? 05:50:55 - What Does Sigmoid Function Mean? 06:10:00 - Maximum Likelihood Estimate 06:20:12 - Step 04: Likelihood of Data 07:09:14 - Logistic Regression Hands-on 07:10:14 - Label Encoding / One Hot Encoding 07:21:54 - Decision Tree 07:36:30 - Random Forest 07:49:32 - Theory of Decision Tree 07:51:54 - Decision Tree Terminology 08:09:34 - Theory of Random Forest 08:26:32 - Important Hyperparameters in Random Forest 08:37:45 - Hands-on: Random Forest 09:00:12 - Data Visualization 09:03:05 - Model Building 09:08:23 - Hyperparameter Tuning 09:24:00 - Model Evaluation 09:29:40 - K-Means Clustering #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