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You will get a machine learning model built and evaluated end-to-end in Python

Rafael D.Status: Offline
Rafael D. Rafael D.
Preview image

Let a pro handle the details

Buy Machine Learning services from Rafael, priced and ready to go.
Rafael D.Status: Offline
Rafael D. Rafael D.
Preview image

Let a pro handle the details

Buy Machine Learning services from Rafael, priced and ready to go.

Project details

Turn your data into a working, validated machine-learning model — built by a PhD data scientist (IBM-certified in ML with Python) who has shipped 440+ analytics projects. I cover the full path: cleaning, feature engineering, model selection, tuning, and honest evaluation (no leakage, proper cross-validation).

What you receive: a trained model, a clear performance report (confusion matrix, ROC/PR curves, feature importance), and clean, documented Python code you can re-run.

Use cases: classification, regression, churn/risk scoring, NLP/text classification, anomaly detection. I'll also tell you when a simpler model beats a complex one — and why.
Machine Learning Tools
Keras, NumPy, Python, Python Scikit-Learn, PyTorch, R, TensorFlow, Tesseract OCR, XGBoost
What's included
Service Tiers Starter
$200
Standard
$390
Advanced
$750
Delivery Time 3 days 4 days 5 days
Number of Revisions
UnlimitedUnlimitedUnlimited
Model Validation/Testing
Model Documentation
Data Source Connectivity
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Source Code
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Rafael D.Status: Offline

About Rafael

Rafael D.Status: Offline
PhD Statistician & Data Scientist | R, Python | Research & Clinical
Hannover, Germany - 10:53 pm local time
Need a statistician who actually understands research design? I hold a PhD from the University of Leeds, have authored 16 peer-reviewed publications, and carry a 4.9/5 rating across 280+ reviews and 600+ completed orders. I've delivered analyses for hundreds of theses, dissertations, and journal manuscripts — and I write the results section the way reviewers expect to read it.

I handle the hard cases other analysts avoid: small samples with separation (Firth/penalized models), overdispersed counts, missing data (multiple imputation), clustered/longitudinal data (mixed-effects & GEE), and non-normal outcomes (robust & bootstrap methods). Every report includes assumption diagnostics, effect sizes, and APA-formatted tables and figures.

Fields I work in regularly: psychology, medicine & public health, education, marketing, economics/finance, political science, and the life sciences.

Tools: R, SPSS, Python. Let's talk about your data.

Steps for completing your project

After purchasing the project, send requirements so Rafael can start the project.

Delivery time starts when Rafael receives requirements from you.

Rafael works on your project following the steps below.

Revisions may occur after the delivery date.

Evaluate dataset

Create metrics and strategy

Review the work, release payment, and leave feedback to Rafael.