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#Ridge Regression

Showing: 11 courses

Machine Learning

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Comprehensive 7-day exploration of key machine learning algorithms, from regression techniques to clustering methods, enhancing data science skills through live interactive sessions.
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8 Lesons
11 hours
On-Demand
Free-Video
statisticsmatt

General Linear Models - Regression

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Comprehensive exploration of linear regression models, covering simple and multiple regression techniques, statistical inference, model diagnostics, and advanced topics for in-depth statistical analysis.
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70 Lesons
17 hours
On-Demand
Free-Video
Data Con LA

Predicting Rare Events Using Ordinal Regression - From Purchases to Diseases

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Dive into advanced ordinal regression techniques for predicting rare events like purchases and diseases, with practical examples and implementation guidance.
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16 Lesons
41 minutes
On-Demand
Free-Video
Data Science Conference

Introduction to Lasso and Ridge Regression Models in R

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Master linear regression regularization techniques through Lasso and Ridge methods in R, focusing on preventing overfitting and improving model reliability for more accurate predictions and estimations.
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1 Lesons
2 hours 10 minutes
On-Demand
Free-Video
StatQuest with Josh Starmer

Regularization Part 1 - Ridge (L2) Regression

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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.
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9 Lesons
20 minutes
On-Demand
Free-Video
Simons Institute

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

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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.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Machine Learning Basics: A Speedrun - IPAM at UCLA

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Speedrun through machine learning fundamentals, covering key concepts like inductive bias, regularization, and kernel methods for both linear and nonlinear regression.
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23 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Model Invariants and Functional Regularization

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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.
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23 Lesons
50 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Handling Multicollinearity with Ridge Regression in Python

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Implement Ridge Regression using Python and sklearn to handle multicollinearity in data analysis.
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1 Lesons
18 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Fast and Accurate Probabilistic Time Series Classification

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Explore fast and accurate probabilistic time series classification using MINIROCKET technology, achieving near-state-of-the-art performance with significantly reduced computational costs compared to existing methods.
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1 Lesons
47 minutes
On-Demand
Free-Video
UofU Data Science

Nonlinear Regression and Regularization in Data Mining - Spring 2023

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Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.
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14 Lesons
1 hour 18 minutes
On-Demand
Free-Video