A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, energy use, land use, etc., provided by the World Bank.
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Updated
Jan 5, 2021 - HTML
A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, energy use, land use, etc., provided by the World Bank.
Flask based web app to diagnose the patient using Python3
Tutorial to deploy a ML Model to Heroku with Flask web application.
Analysis and prediction of the impact of Covid-19 on certain diseases and key indicators in the Colombian health system. The project was approached with data science and machine learning techniques.
PhyAAt homepage
This is the GitHub repository for the technical product documentation for Syncfusion Predictive Analytics components
Development and deployment of next generation customer relationship management tool in product based supply chain.
Predictive Analysis in R (Logistic Regression Analysis)
Predicting the winners of Miss Finland 2016 with penalized logistic regression, using image data.
Predictive modelling with Titanic dataset from Kaggle
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