🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=XycruVLySDg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITK - Professional Certificate Course in Data Science (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-science?utm_campaign=XycruVLySDg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Professional Certificate in Data Science and Generative AI - https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=XycruVLySDg&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=XycruVLySDg&utm_medium=DescriptionFirstFold&utm_source=Youtube This Logistic Regression in R video will help you understand what is a regression, the need for regression and the types of regression. You will learn why logistic regression is important, what is logistic regression and at the end, you will also see a use case implementation of logistic regression in R example. Let's begin this data science algorithm! Below topics are explained in this logistic regression in R video: 00:00 Introduction 01:06 Why regression? 03:24 What is regression? 04:38 Types of regression 05:57 Why logistic regression? 08:47 What is logistic regression? 11:53 Use case - College admission using logistic regression To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 📚Logistic Regression in R Article: https://bit.ly/2Xe76Wh You can also go through the slides here: https://goo.gl/n1W24H Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6 #LogisticRegressionInR #LogisticRegressionInRExample #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning #DataScienceAlgorithms #Simplilearn What is Logistic Regression? Regression is used to find the statistical relationship between two or more variables where a change in the independent variable is associated with a change in the dependent variable. Logistic Regression is used to estimate discrete values (usually binary values such as 0 and 1) from a set of independent variables. It helps to predict the probability of an event by fitting data to a logit function (sigmoid curve). ➡️ About Data Science Course in collaboration with IBM This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career. Key Features ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Masterclasses from IBM experts ✅ Dedicated live sessions by faculty of industry experts ✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn ✅ Industry-recognized IBM certifications for IBM courses ✅ Ask-Me-Anything (AMA) sessions with IBM leadership ✅ Capstone from 3 domains and 25+ projects ✅ Exclusive hackathons conducted by IBM ✅ Lifetime access to self-paced learning content ✅ Program crafted to initiate your journey as a Data Scientist ✅ Integrated labs for hands-on learning experience Skills Covered ✅ Generative AI ✅ Prompt Engineering ✅ ChatGPT ✅ Exploratory Data Analysis ✅ Descriptive Statistics ✅ Inferential Statistics ✅ Explainable AI ✅ Conversational AI ✅ Large Language Models ✅ Model Building and Finetuning ✅ Ensemble Learning ✅ Data Visualization ✅ Database Management 👉 Learn More At: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=LogisticRegression-XycruVLySDg&utm_medium=Description&utm_source=youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688