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Running Xgboost Machine learning model for signal data(CSV) in offline mobile application

Job Description:

I have created Machine learning model on signal data ( csv format ) using Xgboost library.

Model is working fine in Python on cloud. I want it to run on mobile application in offline mode. Can you do this?

If you apply for the job, put you proposal with

1. What do you understand about the problem

2. What experience you have in this space

3. What approach will you use.

Deliverable

1. Xgboost model which works offline in mobile device

Навыки: Python, Android, Java, Signal Processing, Machine Learning (ML)

О клиенте:
( 24 отзыв(-а, -ов) ) abad, India

ID проекта: #21652492

2 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹3500

Albertbestcoder

⭐⭐ Hello, Dear! ⭐⭐⭐ i am a full web developer with over 6 years on freelancer.com. ****In SPECIAL very familiar with java, python, C++ with OpenCV, Image Processing, Machine learning, Mobile(Android/IOS)***** I have Больше

₹4000 INR за 7 дней(-я)
(5 отзывов(-а))
3.0
uxiaojuan2019

I have been working as a typist and developer with python, Java, office,MATLAB, vb, c, c++,web programs for 7+ years. In these years, I have many experiences in these branches.

₹3000 INR за 7 дней(-я)
(5 отзывов(-а))
2.3