Regression Models Courses and Certifications

Machine Learning: Regression

20 ratings

Build regression models to predict house prices in Python: fit simple and multiple linear regression, ridge and lasso, nearest neighbor and kernel regression.

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

Regression Models for Prediction

Build polynomial, lasso and ridge regression models in Python, visualizing fits in 3D, reading coefficients, and scoring predictions with MSE, RMSE and MAE.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Regression Models

33 ratings

Fit and interpret regression models: least squares, multivariable regression, residuals and diagnostics, ANOVA and ANCOVA, and generalized linear models including logistic and Poisson regression.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Apply SAP HANA’s Python machine learning client to build and evaluate regression models using the California housing dataset.

• SAP Learning
• 1 hour 45 minutes
• Self-Paced
• Free Online Course

Supervised Learning in R: Regression

105 ratings at DataCamp

From a machine learning perspective, regression is the task of predicting numerical outcomes from various inputs.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Regression Models by Using R and Tidymodels

Learn to train and evaluate regression models in R with tidymodels using bike-rental prediction, feature engineering, resampling, and performance metrics.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

Advanced Machine Learning Models for Prediction

3 ratings

Predice precios de vivienda en California con regresores SVM, árboles de decisión, random forest y redes neuronales, ajustando su complejidad para evitar sobreajuste.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Regression and Gradient Descent

Build simple linear, multiple linear, and logistic regression from scratch without scikit-learn: derive coefficients, tune learning rates, and apply gradient descent with the sigmoid function.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Diving Deep into Regression

Practice polynomial and regularized regression—ridge, lasso, and elastic net—through prediction and model-comparison exercises.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

PredictHealth's Advanced Pricing System

Build an insurance pricing prediction system using polynomial features, interaction terms, regularization, tuning, and robust cross-validation.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Supervised Machine Learning: Regression

846 ratings at Coursera

Train linear and polynomial regression models to predict continuous outcomes, compare them with error metrics, and apply cross validation plus Ridge, LASSO, and elastic net regularization.

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

Coursera

Mining Quality Prediction Using Machine & Deep Learning

70 ratings at Coursera

Predict silica content in iron ore concentrate: train linear regression, decision tree, random forest, gradient boosting and neural network models in Python and compare MSE, RMSE, R2.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

11 ratings at Coursera

Build and train regression models with Scikit-Learn in a hands-on Python project you can add to a portfolio.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Coursera

Solving ML Regression Problems with AWS AutoGluon

Train several machine learning regression models with AutoGluon, the AutoML library behind AWS SageMaker Autopilot, prototyping powerful models in a few lines of code.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Predict Prices Using Regression Techniques

Build regression models to predict prices: structure raw datasets, impute missing values, encode categorical and ordinal features, split train and test data, and interpret predicted values.

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