kaggle 入门系列翻译(二) Expedia Predict hotel type with pandas 因为每个srch_destination_id会对应N个hotel_cluster,所以根据bookings和clicks进行加权(weights=[1, 0.05]),得到relevance,然后得到训练集上srch_destination_id对应最大的5个hotel_cluster,然后将这个结果根据srch_destination_idmerge到测试集上。 只...
This dataset can be found atKaggle. We are given logs of visitors at different Expedia sites and are asked to predict the hotel clusters in the test set. Expedia aims to use customer data to improve their hotel recommendations. In this blog, I will analyze this dataset and try to get som...
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Is there anyone who can explain to me: What exactly does it mean if a hotel has a "promotion_flag" (in the "train" dataset)? More specifically: Who decides whether or not a given hotel at a given rate may be flagged as a promotional offer - is it a) the hotel itself (because...
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Hi, I'd also like to join a team. I've experience with a couple of Kaggle competions, and my experience revolves around Python/scikit-learn. I'm under the impression that Spark/H2O or some other approach would be necessary in this competition (huge dataset). I've worked in the past ...
Expedia Hotel Recommendations Which hotel type will an Expedia customer book?OverviewDataCodeModelsDiscussionLeaderboardRulesLi Li · 40th in this Competition · Posted 9 years ago arrow_drop_up0more_vert How much we can do one single local computer? Hello, Kagglers, It will be a nice experience...
COMPETITIONS Expedia Hotel Recommendations DATASETS private-dataset private-dataset private-dataset Language Python Competition Notebook Expedia Hotel Recommendations License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input4 files arrow_right_alt Output0 files...