basic_algorithm_blog

codeskills

tools for code

datayears

expedia

Algorithm and code for scoring top 4% in the Kaggle Expedia Recommendation System Competition.

expedia-hotel-recommendations

expediahotelrecommendation

We have decided to take up Expedia's Kaggle challenge of contextualizing customer data and predicting the likelihood a user will stay at 100 different hotel groups. This repository will contain code (python and/or java) for applying multiple ML algorithms to perform an in-depth analysis.

expediahotelrecommendations

Code for the Expedia Hotel Recommendations Kaggle competition.

forcloudyears

For Cloud Years

gitskills

hbase-

hbaselearning

follow the HBase source, learn how it workds!

https-github.com-jadianes-spark-py-notebooks

java_oj

java_skills

java skills and always with selected code sample. so just love this repository and follow me

jekyll_zy

kaggle--expedia-hotel-recommendations

Expedia Hotel Recommendations Model

kaggle-expedia

Kaggle Expedia Hotel Recommendations

kaggle-expedia-hotel-recommendations

kaggle_expedia-hotel-recommendations

Kaggle_Expedia-hotel-recommendations

kaggle_homedepot

Turing Test's Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

kaggle_try_expedia

leetcode-3

:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions

machine_blog

mechinelearningsimple

movielens-recsys

基于MovieLens-1M数据集实现的协同过滤算法demo

recommendation-system

Recommendation System using Collaborative filtering

recommendsystemsimple

the raw implement of some recommend system

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

tensorflow-train

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras