Regression Models Courses and Certifications

Python Machine Learning Client for SAP HANA（hana-ml）で、California housing データを題材に特徴抽出から SAP HANA PAL による回帰モデルのトレーニング、評価・最適化までを実践する。

• SAP Learning
• Self-Paced
• Free Online Course

hana-ml로 California 주택 데이터셋을 다루며 SAP HANA 데이터 프레임 탐색, 특징 추출, SAP HANA PAL 회귀 모델 훈련과 평가·최적화까지 수행해 봅니다.

• SAP Learning
• Self-Paced
• Free Online Course

Appliquez un flux complet de modélisation de régression avec le client Python hana-ml et SAP HANA, de l’extraction des caractéristiques à l’évaluation.

• SAP Learning
• Self-Paced
• Free Online Course

CertNexus

Build Regression, Classification, and Clustering Models

21 ratings at Coursera

Build machine learning models across three problem types: linear and regularized regression, binary and multiclass classification with tuning, and clustering of unlabeled data.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Machine Learning: Regression

This course covers key supervised machine learning topics in regression analysis. You’ll learn to train and test regression models. Ideal for aspiring data scientists and machine learning engineers.

• edX
• 2 weeks, 20-24 hours a week
• Self-Paced
• Free Online Course (Audit)

NPTEL-NOC IITM

Handling Multicollinearity with Ridge Regression in Python

Implement Ridge Regression using Python and sklearn to handle multicollinearity in data analysis.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Quantifying Relationships with Regression Models

24 ratings at Coursera

Learn to fit and interpret regression models: correlation and prediction error, bivariate OLS and its assumptions, dummy and categorical variables, multivariate models, interaction terms, binary dependent variables.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Steve Brunton

Robust, Interpretable Statistical Models - Sparse Regression with the LASSO

Learn how LASSO sparse regression builds interpretable models with few variables and reduces overfitting.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Kaggle;  Amazon Web Services

Supervised Learning

In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Career Certificate

Python Machine Learning Course Online (Self-Paced)

A hands-on introduction to supervised machine learning in Python, covering regression, classification, model evaluation, and a portfolio project.

• Noble Desktop
• Self-Paced
• $1,895.00

Generalized Linear Models and Nonparametric Regression

26 ratings at Coursera

Model binomial and count data with generalized linear models, then fit kernel estimators, smoothing splines, and generalized additive models on real data in R.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

Excel Regression Models for Business Forecasting

112 ratings at Coursera

Build regression models in Excel for business forecasting: simple and multiple regression, dummy and seasonal variables, autoregressions, regression diagnostics, and composite forecasts.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Conf42

Fast Confidence Estimation - Regression Models

Discover fast confidence estimation techniques for regression models through profile-guided optimization methods and efficient computation strategies.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Coursera

Building Statistical Models in R: Linear Regression

20 ratings at Coursera

Build and interpret simple and multiple linear regression models in R, exploring data with visualizations and checking model assumptions using diagnostic plots.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

SPSS: Apply & Interpret Logistic Regression Models

13 ratings at Coursera

Build and interpret logistic regression models in IBM SPSS: configure variables, read output tables, and assess prediction accuracy through heart pulse and smoking behavior case studies.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course