Linear-regression-model-using-python. Problem Statement: Create a machine learning model which will help the company in determining the salary of newly hired employees using the given data.

To create a linear regression model in Python, you can use the Ordinary Least Squares (OLS) method from the statsmodels library. First, define your independent and dependent variables.

In this project, I build a Simple Linear Regression model to study the linear relationship between Sales and Advertising dataset for a dietary weight control product. I discuss the basics of linear ...

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.

In this tutorial, you will learn Python Logistic Regression. Here you’ll know what exactly is Logistic Regression and you’ll also see an Example with Python.Logistic Regression is an important topic ...

8.3. Regression diagnostics¶. Like R, Statsmodels exposes the residuals. That is, keeps an array containing the difference between the observed values Y and the values predicted by the linear model. A ...

To perform ordinal regression we can use a generalized linear model(GLM). GLM has the capability of fitting a coefficient vector and a set of thresholds to data. Let’s say in a data set we have ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.