You will get End-to-End Machine Learning Model
Project details
I will build a custom Machine Learning solution to help you predict customer churn and identify at-risk users before they leave. By analyzing your data, I perform full preprocessing, feature engineering, and train robust predictive models (e.g., XGBoost, Random Forest, Logistic Regression) tailored to your business metrics.
You will receive clean, well-documented Python code, key actionable insights, and performance evaluations to help optimize your customer retention strategies.
You will receive clean, well-documented Python code, key actionable insights, and performance evaluations to help optimize your customer retention strategies.
Machine Learning Tools
NumPy, pandas, Python Scikit-Learn, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$70
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 2 | 3 | 4 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code | - | - |
About Mohamed
Machine Learning Engineer
Alexandria, Egypt - 7:08 am local time
What I can help you with:
End-to-end Data Preprocessing & Exploratory Data Analysis (EDA)
Predictive Modeling (Classification, Regression)
Feature Engineering & Model Optimization
Actionable Data Insights & Reporting
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing & EDA
Clean the dataset, handle missing values, analyze distributions, and prepare features for modeling.
Model Training & Tuning
Train baseline and advanced machine learning algorithms, optimize hyperparameters, and evaluate accuracy.