This project aims at the case of customers’ default payments in Taiwan. You are expected to calculate the probability of default for a customer and further use multiple models to compare their predictive accuracy. From the perspective of risk management, the result of predictive accuracy of the estimated probability of default will be more valuable than the binary result of classification - credible or not credible clients.

Квалификация: Язык программирования R, Machine Learning (ML), Линейное программирование

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( 0 отзыв(-а, -ов) ) Delhi, India

ID проекта: #22145629

5 фрилансеров(-а) в среднем готовы выполнить эту работу за ₹3550


Hello I can achieve this project perfectly using R and ggplot2 In addition : I master prediction technic using Linear regression , tree regression , clustring and classification using knn kmeans , decision trees ,rando Больше

₹12500 INR за 7 дней(-я)
(46 отзывов(-а))

Hello. I have read your post carefully. I am a data scientist. I have many experiences with Python, R, Image/Object Detection, Computer Vision, Machine Learning. Also, I can develop web sites and restful apis based fla Больше

₹1050 INR за 7 дней(-я)
(0 отзывов(-а))

I have the experience and hard skill to work on your task, this is a logistics regression or I can use a deep neural network to produce results

₹1450 INR за 7 дней(-я)
(0 отзывов(-а))

I can do this project as I have worked Machine learning and also implemented many ML projects. I am a data scientist so also have experience working on projects.

₹1500 INR за 7 дней(-я)
(0 отзывов(-а))

I have worked in Churn Prediction and Fraud Detection already. Can finish it quickly with neat explanation.

₹1250 INR за 1 день
(0 отзывов(-а))