Linear Models Courses and Certifications

Linear Classifiers in Python

344 ratings at DataCamp

In this course you'll learn all about using linear classifiers, specifically logistic regression and support vector machines, with scikit-learn.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning with Python: from Linear Models to Deep Learning.

30 ratings

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in

• edX
• 15 weeks, 10-14 hours a week
• Self-Paced
• Free Online Course (Audit)

UofU Data Science

Linear Models in Machine Learning - Lecture 5B

Explore fundamental concepts of linear classifiers and regressors, understanding their role in machine learning and various learning algorithms for hypothesis classification.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

UofU Data Science

Linear Models Expressiveness - Lecture 6

Explore the expressive power and functional capabilities of linear models in machine learning, focusing on their versatility and practical applications.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Introduction to Linear Models and Matrix Algebra

12 ratings

Learn to use R programming to apply linear models to analyze data in life sciences.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Generalized Linear Models in R

200 ratings at DataCamp

Linear regression serves as a workhorse of statistics, but cannot handle some types of complex data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Generalized Linear Models in Python

146 ratings at DataCamp

Imagine being able to handle data where the response variable is either binary, count, or approximately normal, all under one single framework.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Advanced Linear Models for Data Science 1: Least Squares

192 ratings at Coursera

Study least squares from a linear algebraic perspective: matrix summary statistics, regression through the origin, general least squares with full rank design matrices, and basis expansions.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Advanced Linear Models for Data Science 2: Statistical Linear Models

108 ratings at Coursera

Study least squares from a linear algebraic angle: expected values of multivariate vectors, the multivariate and singular normal distribution, distributional results, and PRESS residuals.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generalized Linear Models and Nonparametric Regression

26 ratings at Coursera

Model binomial and count data with generalized linear models, then fit kernel estimators, smoothing splines, and generalized additive models on real data in R.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

UofU Data Science

Linear Models and Their Geometry in Machine Learning - Lecture 6

Explore the geometry and fundamental concepts of linear classifiers, examining their role as essential tools in machine learning classification problems.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Linear Models and Linear Classifiers - Lecture 6

Delve into linear classifiers and their expressive hypothesis class, exploring augmented versions, monotone conjunctions, and feature transformations for machine learning applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

UofU Data Science

Linear Models and Their Geometry in Machine Learning - Lecture 5

Explore the fundamental concepts and geometric principles behind linear classifiers, a cornerstone of machine learning algorithms and classification techniques.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Coursera

Building Statistical Models in R: Linear Regression

20 ratings at Coursera

Build and interpret simple and multiple linear regression models in R, exploring data with visualizations and checking model assumptions using diagnostic plots.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course