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"️🔥Purdue - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-ma... ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-prof... ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engine... ️🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-a..." In this Machine Learning Full Course video, you will learn about Supervised, Unsupervised and Reinforcement Learning in detail. You will start by understanding the basics of machine learning and know the essential applications of machine learning. You will know the machine learning concepts and then focus on some important machine learning algorithms using Python. Below topics are covered in this machine learning full course video: 00:00:00 - 00:00:34 - Introduction 00:00:34 - 00:01:33 - Agenda 00:01:33 - 00:09:12 - Machine Learning Basics 00:09:12 - 00:18:19 - Introduction to Supervised and Unsupervised Learning 00:18:19 - 00:52:36 - Linear Regression in Python 00:52:36 - 01:24:11 - Logistic Regression in Python 01:24:11 - 01:48:51 - Decision Tree in Python 01:48:51 - 02:30:56 - Random Forest Algorithm 02:30:56 - 03:13:25 - Naive Bayes Classifier 03:13:25 - 03:37:31 - Support Vector Machines 03:37:31 - 04:03:57 - K Nearest Neighbors Algorithm 04:03:57 - 04:52:42 - K Means Clustering Algorithm 04:52:42 - 05:23:11 - Principal Component Analysis (PCA) 05:23:11 - 05:52:17 - Regularization in Machine Learning 05:52:17 - 05:58:23 - Types of Machine Learning 05:58:23 - 06:32:45 - Reinforcement Learning Algorithm 06:32:35 - 06:57:18 - Q-Learning Algorithm 06:57:18 - 08:09:50 - Machine Learning Interview Questions ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: • Machine Learning | What Is Machine Learnin... #MachineLearningWithPython #MachineLearningTypes #MachineLearning #MachineLearningTutorial #MachineLearningCourse #MachineLearningAlgorithms #Simplilearn What is Supervised Learning? In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is, therefore, supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model. What is Unsupervised Learning? In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without the aspect of known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates from. ➡️ About Artificial Intelligence Engineer This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions. IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers. ✅ Key Features Add the IBM Advantage to your Learning 25 Industry-relevant Projects and Integrated labs Immersive Learning Experience Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Tools Covered ChatGPT Flask Matplotlib django Python Numpy Pandas SciPy Keras OpenCV And Many More… 👉 Learn More At: https://www.simplilearn.com/pgp-ai-ma...