Tag

statsmodels

1 views collected around this technical thread.

Test Development Learning Exchange
Test Development Learning Exchange
Aug 19, 2023 · Artificial Intelligence

Regression Analysis Methods and Code Examples for Various Business Scenarios

This article provides comprehensive regression analysis methods and Python code examples for various business scenarios including e-commerce, market research, healthcare, finance, social media, HR, education, hospitality, marketing, and logistics.

OLS regressionPoisson regressionPython
0 likes · 6 min read
Regression Analysis Methods and Code Examples for Various Business Scenarios
Python Programming Learning Circle
Python Programming Learning Circle
May 26, 2023 · Fundamentals

Introduction to Statsmodels: Installation, Data Loading, and Basic Statistical Analysis with Python

This article introduces the Python Statsmodels library, explains its key features such as linear regression, GLM, time‑series and robust methods, shows how to install it, load data with pandas, perform descriptive statistics, visualizations, hypothesis testing, and simple and multiple linear regression examples.

Pythondata-analysisregression
0 likes · 6 min read
Introduction to Statsmodels: Installation, Data Loading, and Basic Statistical Analysis with Python
Model Perspective
Model Perspective
Feb 25, 2023 · Fundamentals

How to Test Causal Relationships with Granger Causality in Python

This article explains the concept of Granger causality, outlines the four possible test outcomes, and provides a step‑by‑step Python implementation using statsmodels to determine whether one time‑series statistically causes another.

Granger causalityPythoncausal inference
0 likes · 10 min read
How to Test Causal Relationships with Granger Causality in Python
Model Perspective
Model Perspective
Dec 20, 2022 · Fundamentals

Master Stationary Time Series & ARMA Models: Theory, Examples, Python Code

This article explains the fundamentals of weakly stationary time series, defines mean, variance, autocovariance, and autocorrelation functions, introduces AR, MA, ARMA, and ARIMA models, discusses model identification using ACF/PACF, selection criteria like AIC/SBC, diagnostic testing, and provides Python statsmodels code examples for implementation.

ARMAPythonforecasting
0 likes · 18 min read
Master Stationary Time Series & ARMA Models: Theory, Examples, Python Code
Model Perspective
Model Perspective
Nov 8, 2022 · Artificial Intelligence

How to Solve Multiple Linear Regression with sklearn and statsmodels in Python

This article demonstrates how to perform multiple linear regression using sklearn's LinearRegression and the statsmodels library in Python, covering both formula‑based and array‑based approaches, complete with example data, code snippets, and model evaluation details.

Pythondata analysislinear regression
0 likes · 5 min read
How to Solve Multiple Linear Regression with sklearn and statsmodels in Python
Model Perspective
Model Perspective
Oct 24, 2022 · Artificial Intelligence

Essential Python Packages for Data Analysis, Statistics, and Machine Learning

This article introduces key Python libraries—including NumPy, Pandas, Matplotlib, Statsmodels, Scikit‑Learn, and Keras—detailing their core functionalities for data handling, statistical modeling, and machine‑learning tasks, and provides concise usage insights for each package.

KerasPythondata analysis
0 likes · 4 min read
Essential Python Packages for Data Analysis, Statistics, and Machine Learning
Model Perspective
Model Perspective
Sep 7, 2022 · Artificial Intelligence

How to Solve Multiple Linear Regression with sklearn and statsmodels in Python

This guide demonstrates how to perform multiple linear regression in Python using sklearn's LinearRegression and the statsmodels library, covering data preparation, model fitting, coefficient extraction, prediction, and detailed statistical diagnostics with example cement heat data.

Pythondata analysislinear regression
0 likes · 5 min read
How to Solve Multiple Linear Regression with sklearn and statsmodels in Python
Model Perspective
Model Perspective
Aug 2, 2022 · Fundamentals

How to Build and Forecast an ARMA Model in Python Using Sunspot Data

Learn to load the sunspots.csv dataset, fit an ARMA(4,2) model with statsmodels, evaluate it using AIC/BIC, visualize original and predicted values, and forecast the 1989 sunspot count, all with step‑by‑step Python code and plots.

ARMAPythonforecasting
0 likes · 5 min read
How to Build and Forecast an ARMA Model in Python Using Sunspot Data
Model Perspective
Model Perspective
Jul 26, 2022 · Artificial Intelligence

How to Solve Multiple Linear Regression with sklearn and statsmodels in Python

This article demonstrates how to perform multiple linear regression using scikit‑learn's LinearRegression and the statsmodels library, covering data preparation, model fitting, code examples, and interpretation of statistical results for a cement heat‑release case study.

Pythondata analysislinear regression
0 likes · 5 min read
How to Solve Multiple Linear Regression with sklearn and statsmodels in Python
Model Perspective
Model Perspective
Jul 25, 2022 · Artificial Intelligence

How to Interpret Logistic Regression Parameters and Odds Ratios with Python

This article explains the concepts of odds and odds ratios, shows how logistic regression estimates them, and demonstrates practical model fitting and prediction using Python's statsmodels and scikit‑learn libraries with real‑world examples.

Pythonlogistic regressionmachine learning
0 likes · 8 min read
How to Interpret Logistic Regression Parameters and Odds Ratios with Python
Model Perspective
Model Perspective
Jul 15, 2022 · Fundamentals

How to Perform Two-Way ANOVA with Python’s statsmodels: Theory and Code

This article explains the theory behind two‑factor ANOVA, distinguishes cases with and without interaction, presents the mathematical model, and demonstrates a complete Python implementation using statsmodels, including data setup, model fitting, and interpretation of the ANOVA table.

Experimental designPythonstatistical analysis
0 likes · 6 min read
How to Perform Two-Way ANOVA with Python’s statsmodels: Theory and Code
Model Perspective
Model Perspective
Jul 11, 2022 · Fundamentals

How to Perform One-Way ANOVA in Python: A Step-by-Step Guide

This article explains the concept of one‑way ANOVA, walks through a real‑world example comparing four manufacturing processes, and demonstrates how to conduct the analysis in Python using statsmodels, interpreting the resulting F‑statistic and p‑value to assess significance.

ANOVAPythonhypothesis testing
0 likes · 6 min read
How to Perform One-Way ANOVA in Python: A Step-by-Step Guide
360 Tech Engineering
360 Tech Engineering
Aug 24, 2018 · Artificial Intelligence

Time Series Forecasting with Seasonal Decomposition and ARIMA

This article explains how to process a periodic time‑series, split it into training and test sets, smooth the data, decompose it with statsmodels' seasonal_decompose, forecast the trend using an ARIMA model, and evaluate the results with RMSE, providing a practical workflow for accurate forecasting.

ARIMAPythondata smoothing
0 likes · 5 min read
Time Series Forecasting with Seasonal Decomposition and ARIMA