Ridge Regression Courses and Certifications

NPTEL-NOC IITM

Handling Multicollinearity with Ridge Regression in Python

Implementación práctica de la regresión Ridge en Python para manejar la multicolinealidad utilizando sklearn.

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

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Supervised Machine Learning: Regression

557 ratings at Coursera

Explore supervised machine learning regression techniques, from linear models to regularization methods, with hands-on practice in error metrics, data splitting, and model selection for continuous outcome prediction.

• Coursera
• 20 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning

Comprehensive 7-day exploration of key machine learning algorithms, from regression techniques to clustering methods, enhancing data science skills through live interactive sessions.

• YouTube
• 11 hours
• On-Demand
• Free Video

statisticsmatt

General Linear Models - Regression

Comprehensive exploration of linear regression models, covering simple and multiple regression techniques, statistical inference, model diagnostics, and advanced topics for in-depth statistical analysis.

• YouTube
• 17 hours
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Machine Learning Basics: A Speedrun - IPAM at UCLA

Speedrun through machine learning fundamentals, covering key concepts like inductive bias, regularization, and kernel methods for both linear and nonlinear regression.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Regularization Part 1 - Ridge (L2) Regression

Learn Ridge Regression to prevent overfitting, solve unsolvable equations, and optimize models. Covers main ideas, details, applications for various data types and models, and usage with limited data.

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

Society for Industrial and Applied Mathematics

Model Invariants and Functional Regularization

Explore model invariants and functional regularization in quantitative finance. Learn about regression, MLE, Bayesian estimation, and new approaches to improve model robustness and interpretability in data analysis.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

Simons Institute

Pretraining Task Diversity and the Emergence of Non-Bayesian In-Context Learning for Regression

Explores how task diversity in pretraining affects transformers' in-context learning abilities for regression, revealing a threshold beyond which models can solve novel tasks and outperform Bayesian estimators.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Finnish Center for Artificial Intelligence FCAI

Fast and Accurate Probabilistic Time Series Classification

Explore fast, accurate time series classification using MINIROCKET technology. Learn about achieving near-state-of-the-art performance with significantly reduced computational costs and producing well-calibrated probabilistic predictions.

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

Apprenez à construire des modèles supervisés non-linéaires pour la classification et la régression, en utilisant des méthodes à noyaux et des réseaux de neurones artificiels.

• OpenClassrooms
• 12 hours
• On-Demand
• Free Online Course