A simple demonstration and implementation of gradient boosting
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Updated
Apr 19, 2016 - R
A simple demonstration and implementation of gradient boosting
This capstone project aims to utilize machine learning to predict the earning power of a room rented out on Airbnb.
Predict house sales prices
Dataton URJC 2017
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In this repository the basic step of installation of LightGbm is mentioned
Predict HEXBUG Nano micro robot moving path in a box with an obstacle
Predict users churn for a music box app.
Task provided
Predicting the Churn Rate for a Ride-Sharing Company
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Predicting Crowdfunding Success for Classroom Projects on DonorsChoose.org
A minimal Python library for gene regulatory network inference.
Model for predicting the likelihood of a food inspection violation.
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
This repository contains code for my Machine Learning Basic Nanodegree Project.
XGBoost approach to Mercedes challenge
A company invest lot on employee to train them and make them ready for next generation business. Once you invest in skill enhancement of an employee you need to use it for benefit of business. Employee may be agitated even if they are being paid well as human have aspiration and if aspiration is fulfilled then they perform to their maximum capab…
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