You will get predictive ML models with Linear Regression or Decision Tree
Project details
Need to predict outcomes from your data?
I will build Machine Learning models using Scikit-learn:
Linear Regression for numeric prediction (e.g., prices, scores).
Decision Tree for classification (e.g., pass/fail, yes/no).
You will get the trained model, performance metrics, and visualizations.
I will build Machine Learning models using Scikit-learn:
Linear Regression for numeric prediction (e.g., prices, scores).
Decision Tree for classification (e.g., pass/fail, yes/no).
You will get the trained model, performance metrics, and visualizations.
Machine Learning Tools
NumPy, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 8 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Source Code
(+ 2 Days)
+$20About Mai
Generative AI | Artificial Intelligence
Alexandria, Egypt - 9:16 pm local time
For me, AI is less about formulas on a page and more about teaching machines to think, react, and create. I enjoy the challenge of taking something messy like raw data or unpredictable behavior and shaping it into systems that feel alive and useful.
I’ve trained models in machine learning, deep learning, and NLP, but what makes my work stand out is how I blend technical rigor with creativity. In one project, I built a 3D Maze Game in Unity (Pacman-inspired) where I gave enemies adaptive AI, designed immersive gameplay mechanics, and created a dynamic player interface. It wasn’t just a game—it was my way of exploring how intelligence and interactivity can merge into something engaging.
How I bring AI to life for your project:
-Deliver AI/ML models designed to solve your specific challenges and goals
-Build computer vision systems that detect, recognize, and interpret visual data
-Create NLP tools that automate text tasks, power chatbots, and extract insights
-Transform raw datasets into clear, actionable insights through analysis and visualization
-Design intelligent solutions that balance technical power with human-centered usability
If you want more than code, if you want AI that feels purposeful, creative, and ready for the real world then let’s make it happen together.
Steps for completing your project
After purchasing the project, send requirements so Mai can start the project.
Delivery time starts when Mai receives requirements from you.
Mai works on your project following the steps below.
Revisions may occur after the delivery date.
Data review and preprocessing
I will review your dataset, handle missing values, and prepare it for model training.
Model training
I will train Linear Regression and/or Decision Tree models on your dataset.