You will get predictive Machine Learning models for your dataset
Project details
I specialize in building accurate and efficient Machine Learning models using Python.
What sets my work apart is my focus on clarity and quality — I don’t just deliver a model, I explain every step so you understand how your data is transformed into insights.
You’ll receive clean, well-documented code, detailed reports, and visual results that make your data meaningful.
What sets my work apart is my focus on clarity and quality — I don’t just deliver a model, I explain every step so you understand how your data is transformed into insights.
You’ll receive clean, well-documented code, detailed reports, and visual results that make your data meaningful.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Graph/Chart
(+ 1 Day)
+$5About Farah
Data Science & Machine Learning Engineer | UI/UX Design
Tanta, Egypt - 5:04 am local time
Develop ML models for data analysis, prediction, and automation.
Build and optimize Python scripts for AI/ML projects.
Design intuitive and user-friendly interfaces (UI) that ensure the best user experience (UX).
Combine technical expertise with design thinking to deliver solutions that are both smart and easy to use.
✨ Why Work With Me?
Strong background in Computer Science and a growing track record in ML projects.
Creative mindset in UI/UX design, with a focus on usability and aesthetics.
Dedicated, detail-oriented, and always eager to learn and deliver high-quality work.
Steps for completing your project
After purchasing the project, send requirements so Farah can start the project.
Delivery time starts when Farah receives requirements from you.
Farah works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 — Review the dataset
I’ll check the dataset and understand your project goal.
Step 2 — Data cleaning & preprocessing
I’ll handle missing values, encode data, and prepare it for modeling.