You will get AI segmentation of your data (customers/products/etc)
Project details
We will analyze your data and create custom AI-generated data segmentation. We analyze numeric and text/unstructured data to provide custom segments based on client requirements.
Example data types for segmentation:
• Customer/demographic
• Product segments
• Topic identification
• New trend identification
• Anomaly/fraud identification
• The list goes on....
Example data types for segmentation:
• Customer/demographic
• Product segments
• Topic identification
• New trend identification
• Anomaly/fraud identification
• The list goes on....
Machine Learning Tools
Azure Machine Learning, ChatGPT, Keras, Microsoft Excel, Microsoft Power BI, pandas, Python, Python Scikit-Learn, R, SAS, SPSS, SQL, Tableau, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$5,000
|
Advanced
$10,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 0 | 2 | 5 |
Number of Scenarios | 0 | 2 | 3 |
Number of Graphs/Charts | 5 | 10 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - | - |
About Charles
Machine Learning / Data Science Expert
Oceanside, United States - 4:38 am local time
With 15 years of experience in health care, digital advertising, telecommunications, and engineering, I've developed a unique ability to solve the biggest problems in business with innovative ideas.
My education includes an MBA from Cornell University, an MS from Northwestern University, and a BS in Mathematics from University of California.
Steps for completing your project
After purchasing the project, send requirements so Charles can start the project.
Delivery time starts when Charles receives requirements from you.
Charles works on your project following the steps below.
Revisions may occur after the delivery date.
Client objective meeting
Client meeting to discuss objectives, deliverables, and desired outcomes. The goal is to understand the project output and ensure that it's a match to the project deliverables.
Client Data Meeting
We will discuss client data, data-sources, and understand any special characteristics and requirements for the data.