Regression Models Courses and Certifications

Artificial Neural Network for Regression

6500 ratings at Udemy

Build an ANN Regression model to predict the electrical energy output of a Combined Cycle Power Plant

• Udemy
• 1 hour 12 minutes
• Self-Paced
• Free Online Course

Coursera

PyCaret: Anatomy of Regression

14 ratings at Coursera

Build regression models with PyCaret in a few lines of code: set up the environment, compare and tune models, plot visuals, and interpret results with SHAP.

• Coursera
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Using R for Regression and Machine Learning in Investment

Apply regression to investment problems in R: logistic, Lasso and Ridge models, strategy backtesting, covariance and correlation matrices, and three-factor decomposition of stock risk.

• Coursera
• 2 weeks, 9 hours a week
• Self-Paced
• Paid Course

Machine Learning and Data Analytics Part 1

Apply data mining in engineering: run exploratory analysis, reduce dimensions with PCA and t-SNE, build classification and regression models, and evaluate them using RMSE and AUC-ROC.

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

Capstone: Data Science Problem in Linear Algebra Framework

In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!

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

EDUCBA

Apply Neural Networks for Car Price Prediction

Build a neural network regression model to predict car prices: explore structured data, encode and scale features, evaluate with mean squared error, and apply regularization.

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

EDUCBA

Analyze and Prepare Data for Machine Learning

Connect data wrangling and visualization to preprocessing and classical modeling, using Pandas, Matplotlib, Seaborn, and Scikit-learn to turn complex datasets into ML-ready data.

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

R Programming 101

Multiple Regression Analysis - From Simple Linear to Complex Models

Master multiple regression analysis in R, covering variable selection, confounding, collinearity, outliers, interactions, and assumption validation for robust statistical modeling.

• YouTube
• 2 hours 19 minutes
• Self-Paced
• Free Video

Analyzing Data with Python

107 ratings at edX

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine l

• edX
• 5 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Learn to use simple and multiple linear regression to predict values from data.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Pascal Poupart

Logistic Regression and Generalized Linear Models

Learn logistic regression and generalized linear models through the exponential family, Newton's method, classification, app recommendation, and sparsity.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

Derek Banas

Time Series Forecasting - ARIMA Models and Regression Analysis

Learn how ARIMA forecasts future values by modeling differences in time-series data, with examples using Apple data and U.S. birth rates.

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

NPTEL-NOC IITM

Multinomial Regression Model: Logit and Conditional Logit Models - Part 4

Explore multinomial regression models, including logit and conditional logit, to analyze choice-specific data and interpret relative probabilities in econometric contexts.

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

NPTEL-NOC IITM

Instrumental Variable Estimation for Multiple Linear Regression Models - Part IV

Explore IV techniques for MLRM, generalized MLRM, multiple instruments, and endogenous variables in econometric modeling.

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

NPTEL-NOC IITM

Hands-on Python: Fitting Regression Models with Sklearn and Statsmodels - Part 3

Fit regression models using sklearn and statsmodels in Python. Learn model setup, evaluation, and implementation techniques.

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