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Predição do percentual de ocupação de leitos de UTI no Brasil devido a pandemia do COVID-19 tendo como base a evolução da vacinação, usando Support Vector Regression (SVR)
Machine learning project to predict fetal heart health outcomes from CTG exam data.
This is a multiclass image classification problem. There data contains images from 6 categories 'buildings','forest','glacier','mountain','sea','street'. The aim is to develop a machine learning model that correctly classifies an input image into one of the categories
Using supervised learning on Lending Club loan data to predict default and / or bad loans
Analyzing e-Commerce company customer churn and providing business recommendations
Analyzing and Forecasting of two different Wines' Sales by using Time Series Forecasting modelling