This repository demonstrates how to perform simple linear regression using Python libraries such as pandas, NumPy, and scikit-learn within a Google Colab environment. The dataset used is ...

Python is a powerful tool for data analysis, and linear regression is one of the simplest yet most powerful predictive modeling techniques. If you're delving into data science, understanding how ...

Simple Linear Regression. Simple linear regression is performed with one dependent variable and one independent variable. In our data, we declare the feature ‘bmi’ to be the independent variable.

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 ...

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.

Last time I talked about Simple Linear Regression which is when we predict a y value given a single feature variable x. However data is rarely that simple and we often can have many variables we can ...

Import NumPy and Matplotlib for basic linear and polynomial plots in Python. Seaborn lets you make statistical plots, like bar charts, histograms, and regression, with Python for free.