Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.
-
Updated
Sep 7, 2021 - Python
Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.
The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.
This model trains according to the data and makes a Polynomial Regression curve of degree 16. The model is regularized using ElasticNet regression of l1_ratio 0.5. It also compares the predicted values with original outputs and for different alphas.
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
It was a competition on KAGGLE for prediction on the most sales products on bikes via their features
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
Add a description, image, and links to the elasticnet-regression topic page so that developers can more easily learn about it.
To associate your repository with the elasticnet-regression topic, visit your repo's landing page and select "manage topics."