Fraud-Detection-Handbook / fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
☆503Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for fraud-detection-handbook
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆260Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆173Updated 11 months ago
- Code repository for the online course Feature Engineering for Machine Learning☆375Updated 11 months ago
- Code repository for the online course Feature Selection for Machine Learning☆301Updated 3 weeks ago
- AML End to End Example☆52Updated 2 years ago
- Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…☆670Updated 5 months ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆111Updated last month
- Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel☆354Updated 4 years ago
- Modern Time Series Forecasting with Python, published by Packt☆453Updated 6 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆237Updated last year
- Code for the online course "Deployment of Machine Learning Models"☆798Updated 3 months ago
- Engineering MLOps, published by Packt☆177Updated last year
- Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng☆350Updated last year
- Synthetic Credit Card Transaction Generator used in the Sparkov program.☆145Updated 2 years ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆269Updated 10 months ago
- Tutorials for the Hopsworks Platform☆251Updated 3 weeks ago
- Python Feature Engineering Cookbook, published by Packt☆461Updated last year
- Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.☆239Updated last year
- [Book-2021] Practical MLOps O'Reilly Book☆718Updated 5 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆191Updated last year
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆539Updated last month
- Reference code base for ML Engineering, Manning Publications☆122Updated 3 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆135Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆161Updated 3 months ago
- 🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.☆253Updated 8 months ago
- Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker☆296Updated last month
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆181Updated last year
- Python-centered read-along of Forecasting: Principles and Practice☆468Updated 2 months ago
- Template for a data science project☆693Updated last month
- Machine Learning Engineering with Python☆171Updated last year