You will get a customer churn prediction model
Project details
You will get a complete machine learning model built on your data — including full EDA, XGBoost model, SHAP explanations, and a plain-English business insights report. I handle everything from raw data to final results. You just send me your CSV and tell me what you want to predict.
Machine Learning Tools
Keras, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$45
|
Standard
$85
|
Advanced
$185
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Tahzeeb
Machine Learning Engineer & Full-Stack Weband app Developer& tutor
Istanbul, Turkey - 4:50 am local time
On the ML side, I specialize in predictive modeling — customer churn, demand forecasting, sales prediction, and data analysis. I deliver clean Python notebooks with full EDA, XGBoost models, SHAP explanations, and plain-English business insights. You don't need to understand the code — I make sure you understand the results.
On the web side, I build interactive web apps, browser games, and PWAs using JavaScript, HTML/CSS, and Node.js. My projects include a real-time multiplayer word game (WordRace), an Islamic PWA (Vird), and a 3D multiplayer tank shooter (Block Battle).
What you get working with me:
- Clean, documented, ready-to-use code
- Fast communication and on-time delivery
- Results explained in plain business language
- Honest scoping — I only take projects I can deliver well
Send me a message before ordering so we can make sure your project is a great fit.
Steps for completing your project
After purchasing the project, send requirements so Tahzeeb can start the project.
Delivery time starts when Tahzeeb receives requirements from you.
Tahzeeb works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection
Client shares their dataset (CSV or Excel) and describes what they want to predict
Data Cleaning & EDA
I clean the data, handle missing values, and explore patterns with visualizations