shabazpatel / xgboost-model-apiLinks
RESTful API hosting xgboost model
☆25Updated 8 years ago
Alternatives and similar repositories for xgboost-model-api
Users that are interested in xgboost-model-api are comparing it to the libraries listed below
Sorting:
- Tutorial on deploying machine learning models to production☆59Updated 6 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Slides and materials for most of my talks by year☆93Updated 2 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Predicting happiness from demographics and poll answers☆46Updated 9 years ago
- ☆63Updated 7 years ago
- daily curated links in DS, DL, NLP, ML☆130Updated 6 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 8 years ago
- Some work on Kaggle data for fun☆64Updated 8 years ago
- Tutorial repo for the article "ML in Production"☆30Updated 2 years ago
- ☆25Updated 7 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆80Updated 8 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 9 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆36Updated 9 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 9 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- ☆26Updated 10 years ago
- Quick-Data-Science-Experiments☆19Updated 8 years ago
- TensorFlow Meetup Talks☆57Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.☆64Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 7 years ago
- Some thoughts on how to use machine learning in production☆71Updated 8 years ago
- How to predict credit defaulting?☆93Updated 6 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆48Updated 9 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 11 years ago
- Posts, presentations and papers I've written.☆39Updated 5 years ago