You will get custom machine learning or deep learning pipeline in Python
Project details
Need a machine learning model built but don't have the time or expertise to do it right? I've got you.
I'm an ML researcher specializing in deep learning and computer vision. I'll build you a clean, well-documented pipeline — from raw data to a trained, evaluated model you can actually use and understand. No black boxes, no messy code you can't run.
What you get with every order:
Clean, commented code (Jupyter notebook or Python scripts — your choice)
Proper train/validation/test methodology, so your results are trustworthy
Full evaluation: metrics, plots, and a short written summary of what the numbers mean
Documentation so you can run and modify everything yourself
I work with PyTorch, TensorFlow, scikit-learn, and XGBoost, across tabular data, images, and text. Whether you're a student, a startup, or a researcher, I'll match the solution to your goal and explain it in plain language.
Message me before ordering with a quick description of your data and goal — I'll tell you honestly which tier fits and confirm it's doable. Let's build something that works.
I'm an ML researcher specializing in deep learning and computer vision. I'll build you a clean, well-documented pipeline — from raw data to a trained, evaluated model you can actually use and understand. No black boxes, no messy code you can't run.
What you get with every order:
Clean, commented code (Jupyter notebook or Python scripts — your choice)
Proper train/validation/test methodology, so your results are trustworthy
Full evaluation: metrics, plots, and a short written summary of what the numbers mean
Documentation so you can run and modify everything yourself
I work with PyTorch, TensorFlow, scikit-learn, and XGBoost, across tabular data, images, and text. Whether you're a student, a startup, or a researcher, I'll match the solution to your goal and explain it in plain language.
Message me before ordering with a quick description of your data and goal — I'll tell you honestly which tier fits and confirm it's doable. Let's build something that works.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$35
|
Standard
$90
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 10 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $60
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$25
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
+$8
Model Documentation
(+ 1 Day)
+$20
Data Source Connectivity
(+ 2 Days)
+$30Frequently asked questions
About Abd
AI engineer
Biskra, Algeria - 9:31 pm local time
My background is in research, where results have to hold up to scrutiny: proper validation, honest metrics, and no data leakage or overfitting hiding inflated numbers. I bring that same rigor to freelance work, whether you're a startup shipping your first model, a business automating a process, or a researcher who needs a solid pipeline built right.
What I can build for you:
Classical ML pipelines (scikit-learn, XGBoost) for tabular data — classification, regression, clustering
Deep learning models with PyTorch and TensorFlow — CNNs, transfer learning, sequence models
Computer vision and image classification, including custom or fine-tuned state-of-the-art architectures
Full evaluation: the right metrics for your task, training curves, confusion matrices, and clear plots
Explainability (Grad-CAM, SHAP), uncertainty estimation, and model export (ONNX/TorchScript) when you need production-ready output
Every delivery includes clean, well-commented code (Jupyter notebook or Python scripts — your choice) and a short written summary explaining the results in plain language, so you're never left with a black box you can't run or modify.
I care about doing this properly. I'll tell you upfront what's realistically achievable with your data rather than overpromising, and I keep communication clear from scope to delivery.
Message me with a quick description of your data and goal, and I'll let you know exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Abd can start the project.
Delivery time starts when Abd receives requirements from you.
Abd works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope (Day 1)
We start with a short exchange to confirm your goal, your data (format, size, source), and what success looks like. I'll flag anything that could affect results upfront, so there are no surprises later.
Data review & preprocessing
I inspect and clean your dataset — handling missing values, encoding, scaling, and splitting into proper train/validation/test sets. This is where trustworthy results are made or broken, so I don't cut corners here.