arj7192 / fight_fraud_with_machine_learningLinks
Official repository of the Manning book - Fight Fraud with Machine Learning - by Ashish Ranjan Jha
☆16Updated 5 months ago
Alternatives and similar repositories for fight_fraud_with_machine_learning
Users that are interested in fight_fraud_with_machine_learning are comparing it to the libraries listed below
Sorting:
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last week
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last week
- Deployment of ML models using Python's Scikit-Learn + FastAPI + Docker☆25Updated 3 years ago
- Code Repository for The Kaggle Workbook, Published by Packt☆136Updated last week
- Machine Learning Engineering with Python☆185Updated last week
- Production-Ready Applied Deep Learning☆91Updated last week
- This repo contains all the material developed during the 9-week bootcamp provided by DPhi in colaboration with DataTalks Club☆22Updated 3 years ago
- Machine Learning Engineering with MLflow, published by Packt☆118Updated last week
- Artificial Intelligence with Python Cookbook, published by Packt☆77Updated last week
- PacktPublishing / The-Machine-Learning-Solutions-Architect-and-Risk-Management-Handbook-Second-Edition☆53Updated last week
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- ☆20Updated 3 years ago
- Data Cleaning and Exploration with Machine Learning☆55Updated last week
- ML Zoomcamp fall 2021 homework and stuff☆66Updated 3 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated last week
- Minimalistic text search engine that uses sklearn and pandas☆40Updated last week
- ☆66Updated 6 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated last week
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- Machine Learning Engineering on AWS, published by Packt☆71Updated last week
- MLOps maturity assessment☆61Updated 2 years ago
- Machine Learning with Amazon SageMaker Cookbook, published by Packt☆54Updated last week
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- This is the code repo for the O'Reilly book "Data Science: The Hard Parts"☆17Updated last year
- Demo for CI/CD in a machine learning project☆115Updated 2 years ago
- Maternal Health Risk prediction MLOps pipeline☆45Updated 2 years ago