07. Value Prediction using Linear Regression in Python | Artificial Intelligence & Machine Learning смотреть онлайн

In this video, Joed Goh teaches you how to build a house value estimation using linear regression machine learning algorithm in python. This lessons explains both the theoretical (math and statistics) and actual (python programming) use of simple and multiple linear regression analysis.

TABLE OF CONTENTS:
0:00 Introduction
0:25 Linear Regression Basic Concept
4:25 House Value Estimator Function
8:51 Cost Function
12:50 Simple Linear Regression
15:40 Slope Intercept Form, y = mx + b
19:55 Creating a Simple Regression Model with Sci-kit Learn
23:21 Coefficient of Determination (R-Squared)
24:46 Correlation Coefficient (r)
27:23 Train Test Split
33:10 Multiple Linear Regression
36:53 House Value Prediction

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References:
https://www.javatpoint.com/linear-regression-in-machine-learning
https://www.geeksforgeeks.org/ml-linear-regression/
https://www.javatpoint.com/regression-analysis-in-machine-learning
https://vitalflux.com/mean-square-error-r-squared-which-one-to-use #:~:text=R-Squared%20is%20also%20termed%20as%20the%20coefficient%20of,data%20perfectly%20with%20a%20corresponding%20MSE%20%3D%200.
https://www.mygreatlearning.com/blog/mean-square-error-explained #:~:text=Mean%20Absolute%20Error%20%28MAE%29%20is%20the%20sum%20of,than%20or%20equal%20to%20MAE%20%28RSME%20%3E%3D%20MAE%29.
https://towardsdatascience.com/coding-deep-learning-for-beginners-linear-regression-part-2-cost-function-49545303d29f
https://www.kaggle.com/general/156593
https://www.andrews.edu/~calkins/math/edrm611/edrm06.htm