Скачать с ютуб Linear Regression Analysis | Linear Regression in Python | Machine Learning Algorithms | Simplilearn в хорошем качестве

Linear Regression Analysis | Linear Regression in Python | Machine Learning Algorithms | Simplilearn

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-... 🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-prof... 🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-anal... 🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-anal... This Linear Regression Analysis video will help you understand the basics of linear regression algorithm. You will learn how Simple Linear Regression works with solved examples, look at the applications of Linear Regression and Multiple Linear Regression model. In the end, we will implement a use case on profit estimation of companies using Linear Regression in Python. Dataset Link - https://drive.google.com/drive/folder... Below topics are covered in this Linear Regression Analysis Tutorial: 1. Introduction to Machine Learning 2. Machine Learning Algorithms 3. Applications of Linear Regression 4. Understanding Linear Regression 5. Multiple Linear Regression 6. Usecase - Profit estimation of companies What is Linear Regression Analysis? Machine Learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Linear regression is a statistical model used to predict the relationship between independent and dependent variables by examining two factors: Which variables, in particular, are significant predictors of the outcome variable? How significant is the regression line in terms of making predictions with the highest possible accuracy? Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplile... Machine Learning Articles: https://www.simplilearn.com/what-is-a... To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-... #LinearRegressionAnalysis #LinearRegressionUsingPython #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse #LinearRegressionSimplilearn #simplilearn ➡️ About Caltech Post Graduate Program In Data Science This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs. ✅ Key Features - Simplilearn's JobAssist helps you get noticed by top hiring companies - Caltech PG program in Data Science completion certificate - Earn up to 14 CEUs from Caltech CTME - Masterclasses delivered by distinguished Caltech faculty and IBM experts - Caltech CTME Circle membership - Online convocation by Caltech CTME Program Director - IBM certificates for IBM courses - Access to hackathons and Ask Me Anything sessions from IBM - 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more - Seamless access to integrated labs - Capstone projects in 3 domains - Simplilearn’s Career Assistance to help you get noticed by top hiring companies - 8X higher interaction in live online classes by industry experts ✅ Skills Covered - Exploratory Data Analysis - Descriptive Statistics - Inferential Statistics - Model Building and Fine Tuning - Supervised and Unsupervised Learning - Ensemble Learning - Deep Learning - Data Visualization 🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-... For a more detailed understanding of Linear Regression Analysis, do visit: https://bit.ly/2OsDxeA Learn More at: https://www.simplilearn.com/pgp-data-... 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688