Jacob MazurkiewiczHow Logistic Regression Actually WorksLogistic regression is one of the most powerful linear models for classification. Here’s how it really works.2d ago
Sachin DateinTowards Data ScienceOmitted Variable BiasAn intro to an especially sneaky bias that invades many regression modelsAug 62
SPGeneralized Linear Model in PythonGeneralised Linear Model (GLM) is one of many models to form the linear relationship between the dependent variable and its predictors…Oct 10, 2022Oct 10, 2022
souvik taAn Introduction to Linear Model Identification: Ordinary Least Squares (OLS) with PythonIn the realm of dynamic systems modeling — particularly in engineering, control theory, and systems biology — the State Space Model…4d ago4d ago
Nilimesh Halder, PhDUnderstanding Residual Plots in Linear Regression Models: A Comprehensive Guide with ExamplesLinear regression is a widely used statistical method for analyzing the relationship between a dependent variable and one or more…Mar 24, 2023Mar 24, 2023
Jacob MazurkiewiczHow Logistic Regression Actually WorksLogistic regression is one of the most powerful linear models for classification. Here’s how it really works.2d ago
Sachin DateinTowards Data ScienceOmitted Variable BiasAn intro to an especially sneaky bias that invades many regression modelsAug 62
SPGeneralized Linear Model in PythonGeneralised Linear Model (GLM) is one of many models to form the linear relationship between the dependent variable and its predictors…Oct 10, 2022
souvik taAn Introduction to Linear Model Identification: Ordinary Least Squares (OLS) with PythonIn the realm of dynamic systems modeling — particularly in engineering, control theory, and systems biology — the State Space Model…4d ago
Nilimesh Halder, PhDUnderstanding Residual Plots in Linear Regression Models: A Comprehensive Guide with ExamplesLinear regression is a widely used statistical method for analyzing the relationship between a dependent variable and one or more…Mar 24, 2023
Fahad HussainUnderstanding Noisy Data with Linear RegressionIn data science, real-world datasets are often messy and noisy. A common approach to uncover trends in such data is linear regression. This…Oct 4
The Data BeastGeneralized Linear Model ( GLM ) for Data Analysts & Scientists: Part 1Generalized Linear Models (GLMs) are a class of statistical models that extend the framework of ordinary linear regression to handle a…Nov 4, 2023
Ramavath Shiva KumarDemystifying Regression Metrics: MAE, MSE, RMSE & More ExplainedIn the world of data science and machine learning, building a regression model is only half the battle. The other half? Measuring how well…Oct 1