To predict a multi-variable trendline in Python, you can use a combination of machine learning and regression analysis techniques. First, you will need to import and preprocess the data for analysis. Then, you can use a regression algorithm such as linear regression, polynomial regression, or even support vector regression to fit a trendline to the data points.
Here is an example code snippet using the scikit-learn library to fit a three-variable linear regression model and predict future values:
main.py640 chars25 lines
This code first imports the necessary libraries and data, then fits a linear regression model to the three input variables (var1
, var2
, and var3
) and the target variable. It then uses the model to predict future target values based on new input values (val1
, val2
, and val3
). Finally, it plots the data and the trendline using the matplotlib library.
gistlibby LogSnag