You will get building machine learning models
Project details
Project Name: Custom Machine Learning Classification Model
Goal: Build and deploy an end-to-end Machine Learning pipeline to solve complex classification problems, automate decision-making, and extract actionable insights from raw data.
Core Technology: Python, Pandas, Scikit-learn, XGBoost, and Hugging Face Spaces.
Goal: Build and deploy an end-to-end Machine Learning pipeline to solve complex classification problems, automate decision-making, and extract actionable insights from raw data.
Core Technology: Python, Pandas, Scikit-learn, XGBoost, and Hugging Face Spaces.
What's included
| Service Tiers |
Starter
$5
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 3 days | 2 days | 1 day |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Peter
Data Entry & Transcription Services | Artificial Intelligence, ETL
Alexandria, Egypt - 8:36 am local time
An AI & Software Developer bridging the gap between mathematical rigor and robust software
deployment. Rather than treating models as black boxes, I blend deep statistical understanding with
custom data engineering to build end-to-end intelligent products. Driven by quality and meticulous
attention to detail, I am committed to leveraging my analytical expertise to develop scalable,
mathematically sound solutions that provide real-world value.
Steps for completing your project
After purchasing the project, send requirements so Peter can start the project.
Delivery time starts when Peter receives requirements from you.
Peter works on your project following the steps below.
Revisions may occur after the delivery date.
data preb
Provide available files (CSV or Excel) along with a brief description of the main column meanings.