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Linear Regression Basics

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Related lectures (46)

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Linear Regression: Fundamentals and Applications Log in to Mediaspace to watch this video

Explores linear regression fundamentals, model training, evaluation, and performance metrics, emphasizing the importance of R², MSE, and MAE.

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Supervised Learning in Financial Econometrics Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, covering linear regression, model fitting, potential problems, basis functions, subset selection, cross-validation, regularization, and random forests.

Linear Regression Basics Log in to Mediaspace to watch this video

Introduces the basics of linear regression, covering OLS approach, residuals, hat matrix, and Gauss-Markov assumptions.

Linear Regression: Beyond the Basics Log in to Mediaspace to watch this video

Explores advanced concepts in linear regression models, including multicollinearity, hypothesis testing, and handling outliers.

Linear Regression: Foundations and Applications Log in to Mediaspace to watch this video

Introduces linear regression, covering its fundamentals, applications, and evaluation metrics in machine learning.

Instrumental Variables: Intuition and Estimation Log in to Mediaspace to watch this video

Covers instrumental variables, addressing endogeneity issues in regression analysis through estimation techniques and practical examples.

Linear Regression: Multicollinearity, Outliers, Model Specification Log in to Mediaspace to watch this video

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Linear Regression and Logistic Regression Log in to Mediaspace to watch this video

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Linear and Weighted Regression: Optimal Parameters and Local Solutions Log in to Mediaspace to watch this video

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Linear Regression: Basics and Applications Log in to Mediaspace to watch this video

Covers the basics of linear regression in machine learning, exploring its applications in predicting outcomes like birth weight and analyzing relationships between variables.

Supervised Learning: Regression Methods Log in to Mediaspace to watch this video

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Linear Regression: Fundamentals and Goodness of Fit Log in to Mediaspace to watch this video

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Linear Regression & Correlation Log in to Mediaspace to watch this video

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Model Complexity and Overfitting in Machine Learning Log in to Mediaspace to watch this video

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Splines: Least-Squares Method Log in to Mediaspace to watch this video

Explores splines, emphasizing the least-squares method for interpolating splines and demonstrating its application using MATLAB.

Kernel Methods: SVM and Regression Log in to Mediaspace to watch this video

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General Linear Model: Symmetric Matrices Log in to Mediaspace to watch this video

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Statistical Theory: Cramér-Rao Bound & Hypothesis Testing Log in to Mediaspace to watch this video

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