Meesho / spark_calibrationLinks
Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spark dataframes
☆18Updated last month
Alternatives and similar repositories for spark_calibration
Users that are interested in spark_calibration are comparing it to the libraries listed below
Sorting:
- Machine Learning Engineer interview preparation. Brushing up Data Structures & Algorithms, System Design and SQL☆24Updated 4 years ago
- ☆24Updated 8 months ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated 3 weeks ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 3 years ago
- Comet for Data Science, published by Packt☆42Updated 3 weeks ago
- Implemented an A/B Testing solution with the help of machine learning☆50Updated 4 years ago
- AI algorithms☆142Updated last year
- The Ultimate Product Data Science & Analytics Resource☆69Updated 3 years ago
- ☆38Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…☆73Updated 2 years ago
- Awesome MLOps Course Outline☆36Updated 3 years ago
- LLM Engineering CrashCourse☆103Updated last year
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆80Updated 2 years ago
- Preparation for Machine Learning Interview☆188Updated last year
- Production-Ready Applied Deep Learning☆91Updated 3 weeks ago
- ☆12Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆95Updated 3 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- This repository contains code to learn AI and ML on Google Cloud Platform☆101Updated 4 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…☆184Updated 3 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆57Updated 3 years ago
- Notes from our NLP reading club!☆18Updated 4 years ago
- Engineering MLOps, published by Packt☆189Updated 3 weeks ago
- ☆12Updated 2 years ago
- Machine Learning Model Serving Patterns and Best Practices☆36Updated 3 weeks ago