eherrerosj / mle-tech-interviewsLinks
Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL
☆24Updated 4 years ago
Alternatives and similar repositories for mle-tech-interviews
Users that are interested in mle-tech-interviews are comparing it to the libraries listed below
Sorting:
- Awesome MLOps Course Outline☆35Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆78Updated 2 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 6 months ago
- A collection of MLOps interview questions and answers for data scientists and engineers. Learn how to apply MLOps principles and practice…☆41Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆35Updated last year
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated last year
- Course Material - Data Science Program☆14Updated last year
- LLM Engineering CrashCourse☆101Updated last year
- A simple example to showcase machine learning model deployment with an API☆10Updated 3 years ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆183Updated 3 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- An repository containing all the LLM notebooks with tutorial and projects☆126Updated last week
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆71Updated last year
- ☆24Updated 3 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 5 years ago
- This repository contains the implementation of evaluation metrics for recommendation systems. We have compared similarity, candidate gene…☆20Updated 5 months ago
- a distributed end-to-end image classification system using kubernetes☆12Updated 7 months ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated 4 months ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson☆20Updated last year
- The Ultimate Product Data Science & Analytics Resource☆68Updated 3 years ago
- Datastructure for data science☆22Updated last year
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆221Updated 2 years ago