You will get Machine learning to customer segmentation

Bassent E.Status: Offline
Bassent E.

Let a pro handle the details

Buy Machine Learning services from Bassent, priced and ready to go.
Bassent E.Status: Offline
Bassent E.

Let a pro handle the details

Buy Machine Learning services from Bassent, priced and ready to go.

Project details

"I will build and optimize a custom machine learning model to deliver accurate predictions, actionable insights, and seamless deployment tailored to your needs."
Machine Learning Tools
MATLAB, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn
What's included
Service Tiers Starter
$200
Standard
$300
Advanced
$500
Delivery Time 3 days 7 days 15 days
Number of Revisions
235
Model Validation/Testing
-
Model Documentation
Data Source Connectivity
-
Source Code
Bassent E.Status: Offline

About Bassent

Bassent E.Status: Offline
Data analysis & Generative AI
Cairo, Egypt - 6:18 pm local time
"As a 2012 graduate of Business Information Systems (BIS), I built a robust career specializing in diverse business functions, including management, marketing, and purchasing. Through these experiences, I gained a deep understanding of business operations and strategic thinking. My inherent fascination with programming and databases ignited a new path, leading me to pursue and complete a comprehensive diploma in Artificial Intelligence (AI). Today, I uniquely merge my extensive business background with my AI expertise to tackle complex data challenges. I thrive on creating smart, effective data solutions, approaching every project with both strategic insight and a genuine passion for innovation."

Steps for completing your project

After purchasing the project, send requirements so Bassent can start the project.

Delivery time starts when Bassent receives requirements from you.

Bassent works on your project following the steps below.

Revisions may occur after the delivery date.

Machine Learning project

Step 1: Data collection and preprocessing (cleaning, formatting, handling missing values). Step 2: Exploratory data analysis to understand patterns and relationships. Step 3: Model selection and training using suitable algorithms.

Review the work, release payment, and leave feedback to Bassent.