We will not use any build in models, but we will understand the code behind the linear regression in python. Your Lane to Machine Learning !! Learn With Jay.

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and ...

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 ...

The goal of the Linear regression is to find the best fit line that can accurately predict the output for the continuous dependent variable. If single independent variable is used for prediction then ...

9.1.4 Interpretation. You should be getting comfortable with the output from statistical packages by now (having used regression in Excel and SAS). The summary function in R starts with a five-number ...

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.