python xgboost port

I developed an ML solution using Amazon Sagemaker Autopilot. The Autopilot selected XGBOOST algorithm with some parameters and it generated a model which works great. Now I just want to use Python and XGBoost libraries in my local computer instead of using AWS. You do not need to develop any new Machine Learning solution for this project. I just want the solution already developed to be ported to local Python outside of AWS.

The output files from AWS are attached. In order for payment to be released for this project, I will need the following, 1) detailed instructions (commands ready for typing) for using the existing model ([login to view URL]) in Python, 2) detailed instructions (exact python commands ready for typing) to re-generate the model from given [login to view URL], and 3) screenshot of your test results for purpose of initial verification before full testing begins on my side.

Technical note: I think the two files, [login to view URL] and [login to view URL] are important, but I am not sure. Please do not bid on this project unless you know more than me. I will be unable to answer any technical questions besides clarifying the requirements.

Kemahiran: Python, Amazon Web Services, Machine Learning (ML), Kecerdasan Buatan

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Tentang Majikan:
( 332 ulasan ) San Diego, United States

ID Projek: #28321849

Dianugerahkan kepada:


Hello, I can help you with this project. I would setup a Python environment in conda, which is a dependency manager. You would be able to import this environment in to your own PC. Please do not hesitate to contact Lagi

$30 USD dalam 7 hari
(4 Ulasan)

3 pekerja bebas membida secara purata $37 untuk pekerjaan ini


Hi, I am a Data Scientist based in the Philippines, I can create different Data Science Research Models like: 1. Clustering Models (Supervised and Unsupervised) 2. Machine Learning Models (Decisions Trees, GBM, Rand Lagi

$50 USD dalam sehari
(1 Ulasan)

Hi , I'm Data Scientist certified in Datacamp using python, i will send all what you need just in time.

$30 USD dalam 4 hari
(0 Ulasan)