You will get Predict Customer Behavior Using Machine Learning
Project details
You will get a complete machine learning solution from data cleaning and feature engineering to building and evaluating high-performing models.
I focus on delivering clean code, accurate results, and visual insights that help you make better decisions.
I treat every project with care and deliver only what I would accept myself.
I focus on delivering clean code, accurate results, and visual insights that help you make better decisions.
I treat every project with care and deliver only what I would accept myself.
Machine Learning Tools
GitHub Copilot, NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| 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 | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Model Documentation
(+ 1 Day)
+$5About Abdelrahman
Machine Learning Engineer
Zefta, Egypt - 11:10 am local time
I help businesses and individuals turn raw data into meaningful insights and smart decisions through automation, machine learning models, and clean visualizations.
What I can do for you:
Build and train ML models (classification, regression, clustering)
Perform complete EDA (Exploratory Data Analysis)
Clean and preprocess messy datasets
Visualize your data clearly (Matplotlib, Seaborn, Plotly)
Work with large datasets (CSV, Excel, SQL)
Steps for completing your project
After purchasing the project, send requirements so Abdelrahman can start the project.
Delivery time starts when Abdelrahman receives requirements from you.
Abdelrahman works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Cleaning
Analyze and clean the dataset to remove missing values, duplicates, and outliers. I'll explore the dataset, handle missing data, and prepare it for modeling.
Feature Engineering & Model Building
Create features and build machine learning models based on the objective. I’ll engineer relevant features, test different algorithms, and select the best model.