You will get Fraud Detection ML Algorithm for E-Commerce Websites


Project details
The goal of this project is to develop a robust fraud detection system that can accurately identify fraudulent transactions. The system will analyze historical transaction data and employ machine-learning algorithms to detect patterns indicative of fraudulent activity. By implementing advanced techniques, the system aims to minimize the occurrence of fraudulent transactions and reduce financial losses for the client.
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, Python Scikit-LearnWhat's included
| Service Tiers |
Starter
$50
|
Standard
$75
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
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GD
Goran D.
Aug 28, 2024
Recruiting and HR consultations about recruitment ATS systems
Ayodeji Ayodele is a great freelancer to work with. He is an experienced recruiter. All the best.
About Ayodeji
Expert machine learning engr. experienced in Python, SQL, Web Scraping
Benin City, Nigeria - 1:03 pm local time
Key Strengths & Accomplishments
Leadership & Project Management: As a Development Team Lead at DataWox, I guide teams to deliver high-quality data annotation and automation solutions that meet rigorous quality standards.
Innovative AI/Machine Learning Solutions: At Starwox and Zummey, I spearheaded end-to-end MLOps processes, developed predictive models, and implemented cutting-edge AI solutions that improved model deployment efficiency by up to 35% and drove significant revenue growth.
Technical Expertise: Proficient in Python, SQL, Tableau, Power BI, and a wide range of machine learning algorithms, with hands-on experience in cloud platforms, CI/CD pipelines, Docker, Kubernetes, and advanced data processing techniques.
Educational Background: Certified in Data Analysis through the Udacity Data Analyst Nanodegree, reinforcing my robust foundation in data wrangling, visualization, and trustworthy analysis.
I am committed to leveraging my technical prowess and leadership skills to help organizations make data-driven decisions and achieve strategic goals. Let’s connect to explore how my expertise can bring value to your team or your project.
Steps for completing your project
After purchasing the project, send requirements so Ayodeji can start the project.
Delivery time starts when Ayodeji receives requirements from you.
Ayodeji works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Exploration
Gathering the relevant dataset for fraud detection. Exploring the dataset to understand its structure and characteristics. Conducting preliminary data analysis and identifying any data quality issues.
Data Preprocessing
Handling missing values, outliers, and inconsistencies in the data. Performing feature scaling, normalization, or transformation if required. Encoding categorical variables and handling imbalanced data if present.