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Learn Linear Regression online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Great Learning
This Machine Learning course provides a comprehensive foundation in both supervised and unsupervised learning, with a focus on key concepts such as linear regression, data preprocessing, and model evaluation. You'll learn essenti…
Harvard University
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Great Learning
Predictive Modeling and Analytics - Regression is designed to help you better understand the basic concepts and cater to your queries on the subject. The course introduces you to predictive modeling and takes you through simple linear regression, best fit line, multiple linear regression, linear re…
These videos pick up where Linear Regression and Linear Models leave off. Now, instead of predicting something continuous, like age, we can predict something discrete, like whether or not someone will enjoy the movie Troll 2.
Duke University
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores?…
Rice University
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is the fourth course in the specialization, "Business Statistics…
These videos teach the basics relating to one of statistics most powerful tools. Linear Regression and Linear Models allow us to use continuous values, like weight or height, and categorical values, like favorite color or favorite movie, to predict a continuous value, like age.
MIT OpenCourseWare
This course provides an elementary introduction to probability and statistics with applications. Topics include basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression. These same course materials, includi…
The University of Texas at Austin
Use R to learn fundamental statistical topics such as descriptive statistics and modeling.
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
MIT OpenCourseWare
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Ma…
Johns Hopkins University
This course will introduce you to the linear regression model, which is a powerful tool that researchers can use to measure the relationship between multiple variables. We’ll begin by exploring the components of a bivariate regression model, which estimates the relationship between an independent a…
In this series, I have covered various Machine learning techniques for beginners. I have tried to cover all the ML Algorithms like linear regression, support vector machines, decision trees including the intricacies like how a linear regression works and how it evaluates loss for getting correct pr…
The London School of Economics and Political Science
The second in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
Great Learning
In today's world, where we are surrounded by data, it becomes vital that it can be used to its fullest to understand the power of insights that can drive businesses to success. Machine learning is a domain that helps us do just that, among other essential applications. So, what is Linear Regression…
MIT OpenCourseWare
This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and nonparametric statistics.
Indian Institute of Management Bangalore
Master the tools of predictive analytics in this statistics based analytics course.
Imperial College London
Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. Thi…
Delft University of Technology
Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.
