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Linear Regression

Linear regression is a basic and commonly used 
type of predictive analysis.  The overall idea 
of regression is to examine two things: 

(1) does a set of predictor variables 
    do a good job in predicting an outcome 
    (dependent) variable?  
    
(2) Which variables in particular are 
    significant predictors of the outcome 
    variable, and in what way do they–indicated 
    by the magnitude and sign of the beta 
    estimates–impact the outcome variable?  
    
These regression estimates are used to explain 
the relationship between one dependent variable 
and one or more independent variables. The simplest 
form of the regression equation with one dependent 
and one independent variable is defined by the formula

        y = c + b*x
        
where 
       y = estimated dependent variable score, 
       c = constant (intercept)
       b = regression coefficient (slope), and 
       x = score on the independent variable.

Introduction to Linear Regression

  1. Linear_Regression_using_sklearn

  2. machine-learning-simple-linear-regression-with-python.pdf

  3. Linear Regression in a nutshell -- video

  4. Linear Regression Algorithm: Machine Learning Algorithm -- video

  5. Linear Regression 101 (Part 1 - Basics)

  6. Linear Regression 101 (Part 2 - Metrics)

  7. Introduction to Linear Regression slides -- pptx

  8. Linear regression model -- pdf -- 38 slides -- MP

Linear Regression Examples

  1. How to do a linear regression with sklearn

  2. From Simple to Multiple Linear Regression with Python and scikit

  3. Example of Regression Analysis Using the Boston Housing Data Set: GOOD Example

  4. A simple linear regression

  5. Beginner Scikit-learn Linear Regression Tutorial

  6. Implementing and Visualizing Linear Regression in Python with SciKit Learn

  7. Linear Regression in Python using scikit-learn

  8. Linear Regression Example

  9. A beginner’s guide to Linear Regression in Python with Scikit-Learn

  10. How to run Linear regression in Python scikit-Learn

  11. Linear, Lasso, and Ridge Regression with scikit-learn

  12. Linear Regression in Python – Simple and Multiple Linear Regression

  13. Python | Linear Regression using sklearn

  14. Linear Regression Algorithm from Scratch -- DETAILED

  15. O'Reilly: Very good detailed Linear Regression Tutorial -- Training Models

  16. Evaluating a Linear Regression Model -- Detailed Good Example

Spark-ML and Linear Regression:

  1. Introduction to Spark

  2. Introduction to Spark ML -- video -- 14 minutes

  3. PySpark DataFrame Tutorial

  4. Building a Linear Regression with PySpark

  5. Apache Spark Tutorial: ML with PySpark

  6. Building A Linear Regression with PySpark and MLlib by Susan Li