🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=XnOAdxOWXWg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=XnOAdxOWXWg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=XnOAdxOWXWg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=XnOAdxOWXWg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=XnOAdxOWXWg&utm_medium=DescriptionFirstFold&utm_source=Youtube This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python. Below topics are covered in this Logistic Regression Tutorial: 0:00 - 01:52 Introduction 01:52 - 05:35 What is Supervised Learning? 05:35 - 06:10 What is Classification? 06:10 - 15:49 What is Logistic Regression? 15:49 - 16:58 Comparing Linear and Logistic regression 16:58 - 18:40 Logistic regression applications 18:40 - 38:17 Use case - Predicting the number in an image ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Logistic-Regression-XnOAdxOWXWg&utm_medium=Tutorials&utm_source=youtube We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Logistic-Regression-XnOAdxOWXWg&utm_medium=Tutorials&utm_source=youtube 👉Learn more at: https://bit.ly/3fouyY0 #LogisticRegression #LogisticRegressionMachineLearning #LogisticRegressionInPython #MachineLearningPython #MachineLearningAlgorithms #MachineLearnAlgorithms #MachineLearning #Simplilearn What is Logistics Regression? Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression ➡️ 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: