Linear Regression Courses and Certifications

UofU Data Science

Machine Learning: Least Mean Square Regression - Lecture 12

Dive into advanced linear regression concepts, exploring overfitting, gradient descent, and practical plotting techniques for enhanced machine learning understanding.

• YouTube
• 32 minutes
• On-Demand
• Free Video

UofU Data Science

Least Mean Square Regression for Machine Learning - Lecture 11

Dive into least mean square regression, exploring loss function minimization and gradient descent methods for effective linear regression implementation and optimization.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

UofU Data Science

Linear Regression and Least Mean Square Method - Lecture 11

Master linear regression fundamentals through least mean square method, loss function minimization, and gradient descent techniques for practical machine learning applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

UofU Data Science

Linear Regression and Parameter Estimation in R - Lecture 17

Master linear regression techniques in R while exploring parameter estimation and random variable estimators through hands-on statistical analysis and practical applications.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Linear Regression

Explore linear regression concepts, techniques, and applications for data analysis and predictive modeling.

• YouTube
• 41 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 4

Explore advanced concepts in classical linear regression, focusing on model interpretation, diagnostics, and practical applications in statistical analysis.

• YouTube
• 28 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 3

Explore advanced concepts of classical linear regression, including model assumptions, estimation techniques, and statistical inference for robust data analysis.

• YouTube
• 33 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Diagnostics to Improve Linear Model Fit - OLS Analysis and Residual Plots

Explore techniques to enhance linear model fit through residual analysis, normality checks, and outlier detection in OLS regression.

• YouTube
• 29 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Simple Linear Regression Model Assessment - Continued

Assess simple linear regression models through continued exploration of key concepts and techniques for evaluating model performance and validity.

• YouTube
• 14 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Simple Linear Regression Model Building

Build a simple linear regression model by loading data, exploring its structure, and fitting a regression line, with a comprehensive model summary.

• YouTube
• 12 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 2

Explore advanced concepts of classical linear regression, including model assumptions, parameter estimation, and statistical inference techniques.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Linear Regression with Python

425 ratings at Coursera

Implement Linear Regression using Python and Numpy, focusing on practical aspects like optimization algorithms and training processes. Gain hands-on experience in fundamental machine learning concepts.

• Coursera
• 1 hour 45 minutes
• On-Demand
• Paid Course

Simple Linear Regression for the Absolute Beginner

47 ratings at Coursera

Learn to predict one variable based on another using simple linear regression, applicable across industries. Gain practical skills for your portfolio and future interviews.

• Coursera
• 2 hours 4 minutes
• On-Demand
• Paid Course

Great Learning

Linear Regression in Machine Learning - Machine Learning Tutorial

Comprehensive exploration of linear regression in machine learning, covering key concepts, applications, and implementation in Python. Ideal for beginners seeking practical understanding of predictive modeling.

• YouTube
• 2 hours 15 minutes
• On-Demand
• Free Video

The Analytics Edge

80 reviews

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

• edX
• 13 weeks, 10-15 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time