Udacity Data Analyst Nanodegree - Project IV
This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.
This repository contains the model building process by logistic regression for detecting the transactions made by Credit card are legal or not.
This magical tool estimates car prices with a Linear Regression model, trained on Quikr Car listings. Powered by Python and scikit-learn, it considers company, model, year, and mileage. Simply input your car's details and get an instant price prediction!
Projeto Final da 3º Imersão Dados da Alura. Aplicando um algoritmo de aprendizagem não-supervisionada para clusterizar um conjunto de dados da área de biologia.
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