You will get Data Scientist & AI Engineer Python · LangChain · RAG Pipelines · ML Models
Project details
This is the Description step for Customer Churn Prediction. Here's everything to fill in:
📝 Project Summary (copy this exactly):
Is your business losing customers without knowing why?
I will build you a machine learning model that predicts which customers are likely to churn — before they leave. You get a fully working prediction dashboard where you can input customer data and instantly see churn risk.
Built with: Python, Scikit-learn, Pandas, Streamlit
What you get:
✅ Trained ML model on your customer dataset
✅ Accuracy report and performance metrics
✅ Feature importance chart — see exactly why customers churn
✅ Interactive web dashboard for instant predictions
✅ Clean source code with full explanation
I have already built and deployed a live churn prediction app you can test it before ordering. Message me first and I will confirm I can deliver exactly what you need.
📝 Project Summary (copy this exactly):
Is your business losing customers without knowing why?
I will build you a machine learning model that predicts which customers are likely to churn — before they leave. You get a fully working prediction dashboard where you can input customer data and instantly see churn risk.
Built with: Python, Scikit-learn, Pandas, Streamlit
What you get:
✅ Trained ML model on your customer dataset
✅ Accuracy report and performance metrics
✅ Feature importance chart — see exactly why customers churn
✅ Interactive web dashboard for instant predictions
✅ Clean source code with full explanation
I have already built and deployed a live churn prediction app you can test it before ordering. Message me first and I will confirm I can deliver exactly what you need.
Machine Learning Tools
Cloudera, MATLAB, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQLWhat's included
| Service Tiers |
Starter
$20
|
Standard
$45
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 7 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Muhammad
AI & Machine Learning | Python Scikit-Learn, Machine Learning, Kaggle
Hyderabad, Pakistan - 3:41 am local time
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
Review client dataset and confirm prediction goal
Data Cleaning
Clean and prepare dataset for model training
