Ordinary Least Squares Courses and Certifications

Coding Train

Introduction to Machine Learning - Intelligence and Learning - Session 3

Explore machine learning fundamentals through linear regression, gradient descent, and nearest neighbors algorithms with hands-on coding challenges and mathematical foundations.

• YouTube
• 3 hours 26 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

UofU Data Science

Machine Learning - Spring 2023

Dive into comprehensive machine learning fundamentals covering supervised learning, decision trees, linear models, perceptron, SVMs, neural networks, and Bayesian methods.

• YouTube
• 1 day 13 hours 23 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Simultaneous Equation Model - Part III: Simultaneity Bias and OLS Implications

Explore simultaneity bias and its impact on OLS estimation in simultaneous equation models. Gain insights into addressing this econometric challenge.

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

NPTEL-NOC IITM

Gauss-Markov Theorem

Explore the fundamental principles and applications of the Gauss-Markov theorem in statistical analysis and linear regression modeling.

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

NPTEL-NOC IITM

Hands-on with Python: Estimating Regression Coefficients with OLS and Abline - Part 2

Estimate regression coefficients using OLS and abline in Python, gaining practical experience with statistical analysis techniques.

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

Generative Adversarial Minority Oversampling

Explore innovative techniques for addressing class imbalance in machine learning using generative adversarial networks and convex generators, with a focus on minority oversampling.

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

AnalystPrep

Linear Regression - FRM Part 1 2025 Book 2 Chapter 7

Master linear regression fundamentals for FRM Part 1: OLS estimation, hypothesis testing, confidence intervals, and key assumptions with practical applications.

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

UofU Data Science

Bayesian Learning: Connection to Least Mean Square Regression - Lecture 23a

Delve into Bayesian learning concepts and their connection to least mean square regression in this continuation of the series.

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

Introducing Linear Algebra

Comprehensive exploration of linear algebra concepts, from basic operations to advanced topics, with practical applications using Julia and Python programming languages.

• YouTube
• 9 hours
• Self-Paced
• Free Video

Professor Knudson

Regression

Explore point estimation, maximum likelihood, and distribution for regression coefficients, focusing on ordinary least squares and slope estimator analysis.

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

Learn Statistics with Python

Master Python for statistical analysis: design matrices, linear models, F distribution, and OLS. Hands-on tutorials using Orange and Patsy libraries for practical data science skills.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Modern Linear Algebra Using Python Instead of a Textbook

Explore linear algebra concepts through hands-on Python programming, covering matrix operations, decompositions, and applications in machine learning and data analysis.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Ox educ

Graduate Econometrics

Comprehensive graduate-level econometrics covering matrix formulation, estimators, causality, time series, panel models, and Bayesian methods. Develops advanced analytical skills for economic research and modeling.

• YouTube
• 7 hours
• Self-Paced
• Free Video