You will get a full Machine Learning app- data, models, and dashboards, ready to use
Project details
Enough with the jupyter notebooks. You'll get a production ready model app that rivals the respective industry benchmarks.
Machine Learning Tools
Google AutoML, Microsoft Excel, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, Scrapy, SQL, XGBoostWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 3 | 3 |
Number of Scenarios | 1 | 3 | 3 |
Number of Graphs/Charts | 3 | 5 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$15
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
(+ 1 Day)
+$10About Pedro
Python Developer| Data Engineer| MLOps
Porto, Portugal - 6:11 am local time
With expertise in data engineering, data analysis, machine learning development & deployment, and visualization techniques, I turn raw data into actionable insights and data-driven solutions
Let’s connect to bring your project to life!
Steps for completing your project
After purchasing the project, send requirements so Pedro can start the project.
Delivery time starts when Pedro receives requirements from you.
Pedro works on your project following the steps below.
Revisions may occur after the delivery date.
Project roadmap
Given the information provided, design a roadmap of the project, and what is expected of the tool
Problem and Data analysis
Explore and understand both the problem and the data, so that it can be worked on the most effective way