You will get Machine Learning Model. visualize the training and testing stages.
Project details
Allow users to put a Machine Learning model in the environment, visualize the training and testing stages, see the model’s performance, and compare the two times. The solution is as follows:
Design machine learning interfaces.
Login Interface
Upload dataset interface that can allow different formats.
A dashboard that shows the audit and diagnostic of the dataset.
Upload the machine learning model.
Dashboard/ report about the mode
The interface that gives final reports/ status about the model and the dataset.
Recommendation interface.
Identify all technical indicators and data indicators.
Identify all AWS services needed to set up the environment.
Design machine learning interfaces.
Login Interface
Upload dataset interface that can allow different formats.
A dashboard that shows the audit and diagnostic of the dataset.
Upload the machine learning model.
Dashboard/ report about the mode
The interface that gives final reports/ status about the model and the dataset.
Recommendation interface.
Identify all technical indicators and data indicators.
Identify all AWS services needed to set up the environment.
Machine Learning Tools
Amazon SageMakerWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$11
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 1 day |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Faissal
Amazon Web Services / IT Solutions
Marrakesh, Morocco - 8:00 pm local time
Our goal is to help startups and organizations complete any project with high-quality, low-cost cloud consulting and administration.
CloudLink believes that every business idea deserves the best technology to succeed. We help businesses maximize their strengths by offering exceptional products and services that satisfy customers.
Steps for completing your project
After purchasing the project, send requirements so Faissal can start the project.
Delivery time starts when Faissal receives requirements from you.
Faissal works on your project following the steps below.
Revisions may occur after the delivery date.
it starts with a meeting with our technical experts.
Allow users to put a Machine Learning model in the environment, visualize the training and testing stages, see the model’s performance, and compare the two times.