Yujin Kim,
PhD
The objective of this task is to implement the linear regression in Section - ArcGIS using Python [1] instead of the ArcGIS Pro. Python packages, including NumPy [2], Pandas [3], Matplotlib [4], seaborn [5] and scikit-learn [6] were used. The same data set from Section - ArcGIS was input: the dependent variable COOLING and the 12 independent variables.
Aim
Prediction Using Python
Python – Linear Regression Modelling
Python code
Fig. 1.1 displays code that I wrote to analyse relationships between the variables, train the data set, build a linear regression model and validate the results [1–6].
Fig. 1.11. Linear Regression using Python
[1] Python,
https://www.python.org/.
[2] NumPy,
https://numpy.org/.
[3] Pandas,
https://pandas.pydata.org/.
[4] Matplotlib,
https://matplotlib.org/.
[5] seaborn,
https://seaborn.pydata.org/.
[6] scikit-learn,
https://scikit-learn.org/stable/.