Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

On the other hand, when working with data with zeros, but not zero-inflated, the Poisson model or a data-transformation-approach, such as square-root or Box-Cox transformation, are applicable. dairy; ...

The Poisson regression model is a primary tool for analyzing count data, representing count outcomes as functions of one or more independent variables. This model assumes that observations are ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...