Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.
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Updated
Sep 7, 2021 - Python
Algoritmos de regressão na linguagem python utilizando bibliotecas como sklearn e pandas.
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.
The main objective of this project is to forecast the Customer Lifetime Value (CLTV) using user and policy data.
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
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
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