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Regression and Classification

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Related lectures (57)

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

Covers multicollinearity, outliers, model specification, and practical strategies in linear regression.

Statistics: Exploratory Data Analysis Log in to Mediaspace to watch this video

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Polynomial Regression: Basics and Regularization Log in to Mediaspace to watch this video

Covers the basics of polynomial regression and regularization to prevent overfitting.

Introduction to OLS Log in to Mediaspace to watch this video

Covers the basics of Ordinary Least Squares (OLS) in econometrics, including variable relationships, coefficient determination, and model interpretation.

Feature Engineering: Polynomial Regression Log in to Mediaspace to watch this video

Covers fitting linear regression on features of the original predictors for flexible feature representation.

Regression: High Dimensions Log in to Mediaspace to watch this video

Explores linear regression in high dimensions and practical house price prediction from a dataset.

Marginal Models: Interpretation and Application Log in to Mediaspace to watch this video

Explores marginal models in modern regression, emphasizing interpretation and application in statistical analysis.

Logistic Regression: Classification Log in to Mediaspace to watch this video

Covers supervised learning, classification using logistic regression, and challenges in optimization.

ANOVA: Model Coefficients and Sequential Sum of Squares Log in to Mediaspace to watch this video

Covers the estimation of model coefficients, inference of coefficients, and ANOVA.

Decision Trees and Random Forests: Concepts and Applications Log in to Mediaspace to watch this video

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Binary Response: Link Functions Log in to Mediaspace to watch this video

Explores binary response interpretation, link functions, logistic regression, and model selection using deviances and information criteria.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

Applied Biostatistics: Bivariate Data Analysis Log in to Mediaspace to watch this video

Explores bivariate data analysis in applied biostatistics, covering correlation, regression, model selection, and diagnostics.

Advanced Machine Learning: Ridge Regression Log in to Mediaspace to watch this video

Covers linear regression basics, closed-form solutions, singularity, and regularizing techniques.

Generalized Linear Models Log in to Mediaspace to watch this video

Covers Generalized Linear Models, likelihood, deviance, link functions, sampling methods, Poisson regression, over-dispersion, and alternative regression models.

Polynomial Regression: Overview Log in to Mediaspace to watch this video

Covers polynomial regression, flexibility impact, and underfitting vs overfitting.

Supervised Learning: Classification Algorithms Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, emphasizing classification algorithms like Naive Bayes and Logistic Regression.

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