Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Graphic Design
Data Analysis
Digital Marketing
El rol de la digitalización en la transición energética
First Step Korean
Supporting Successful Learning in Primary School
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Regression Analysis, earn certificates with free online courses from Stanford, MIT, University of Pennsylvania, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Move past the basics of regression analysis and learn how to build models for prediction and forecasting, and for inferring causal relationships between variables.
Learn powerful regression analysis techniques for predicting future outcomes. Master simple and multiple linear regression, model assumptions, dummy variables, polynomial regression, and generalized linear models.
Build your statistics literacy with this flexible, online introduction to regressions from the University of Lincoln.
In this tutorial, we have covered all the important topics such as, What is Linear regression, How it works, What are its advantages, and much more that will help you to understand this concept with ease.
Explore advanced techniques for robust sparse regression in high-dimensional data, focusing on sublinear algorithms and nearest-neighbor search methods.
Explore advanced techniques for outlier-robust regression, focusing on efficient algorithms and their applications in high-dimensional statistics and machine learning.
Comprehensive exploration of regression analysis, covering linear and logistic techniques. Learn to leverage data relationships for informed decision-making in various business contexts.
Explore efficient algorithms for p-norm regression, overcoming challenges in large-scale data analysis and optimization with recent breakthroughs and generalizable techniques.
Explore sampling distributions of regression coefficients and conduct statistical inference to enhance your understanding of regression analysis.
Fit regression models to temperature data, apply stepwise variable selection, and choose the best model using out-sample RMSE. Enhance skills in feature engineering and dimension reduction.
Explore regression analysis, its applications, and solve numerical problems in this advanced mathematics tutorial for engineering and business students.
統計学の基礎を学べるベーシック講座「その2」です。統計学を用いたデータ分析の基礎となる「相関分析・回帰分析」について豊富な図を用いて説明していきます。相関分析や回帰分析という一生モノのスキルをぜひこの機会に一緒に身につけましょう!
线性统计模型是现代统计学中应用最为广泛的模型之一,而且也是其它统计模型研究或者应用的基础。掌握了线性模型的理论,也就掌握了统计的核心内容。
रिग्रेशन विश्लेषण की मूल अवधारणाओं और उपयोग को समझें। लीनियर और लॉजिस्टिक रिग्रेशन के सिद्धांत और पायथन में प्रैक्टिकल डेमो शामिल हैं।
Explora la regresión Bridge ajustada con SURE, una técnica avanzada de análisis estadístico para mejorar la precisión en modelos predictivos.
Get personalized course recommendations, track subjects and courses with reminders, and more.