You will get professional ML model evaluation and a full performance report
Project details
You will get a complete, clear, and actionable evaluation of your machine learning model.** I provide professional model assessments backed by solid ML experience—covering performance metrics, error analysis, comparison of model variations, insights, and visual reports. My evaluation helps you understand exactly how your model performs, where it fails, and how to improve it for better real-world results.
With experience in supervised learning, deep learning, imbalanced datasets, and real-world ML pipelines, I deliver clean reports, visual charts, and practical recommendations. Every delivery is high quality, structured, and tailored to your project needs.
With experience in supervised learning, deep learning, imbalanced datasets, and real-world ML pipelines, I deliver clean reports, visual charts, and practical recommendations. Every delivery is high quality, structured, and tailored to your project needs.
Machine Learning Tools
Accord.NET Framework, Amazon SageMaker, Apache Mahout, Apache MXNet, Apache Spark MLlib, ArcGIS, BERT, BigDL, Chainer, ChatGPT, Databricks Platform, Databricks MLflow, Deeplearning4j, fastText, GitHub Copilot, GoLearn, Google Data Studio, Google Sheets, H2O, Hortonworks, KNIME, Kubeflow, MATLAB, Microsoft Power BI, NLTKWhat's included
| Service Tiers |
Starter
$29.99
|
Standard
$59.99
|
Advanced
$99.99
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 5 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Mohamed Ghassen
AI Engineer
Menzel Bourguiba, Tunisia - 5:40 am local time
I work best on projects involving:
Machine Learning & Deep Learning models
Natural Language Processing (NLP) (information extraction, text analysis)
Data analysis, feature engineering, and predictive modeling
AI-powered backend systems and APIs
Full-stack AI applications (React, Node.js, MongoDB)
I combine strong engineering fundamentals with a research-oriented mindset, ensuring solutions are not only functional but also accurate, optimized, and production-ready. I focus on clean code, clear communication, and delivering real business value.
If you need an AI solution that works — not just a model — I’m ready to help.
Steps for completing your project
After purchasing the project, send requirements so Mohamed Ghassen can start the project.
Delivery time starts when Mohamed Ghassen receives requirements from you.
Mohamed Ghassen works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I review your dataset, model details, and evaluation objectives.
Run Model Evaluation
I compute performance metrics (classification or regression) and test on validation/test sets.