Category Archives: Uncategorized

supervised learning Source: How to Ace a Data Science Interview

The MovieLens 20M dataset: GroupLens Research has collected and made available rating data sets from the MovieLens web site (http://movielens.org). The data sets were collected over various periods of time, depending on the size of the set.  20 million ratings … Continue reading →

1. SELECT: Format: select column1, column 2 from dataset select * from dataset select distinct column from dataset select column1, column2 from table_name where (conditions)  Conditions: AND, OR, LIKE, BETWEEN, IN For example,            WHERE city … Continue reading →

The dataset is from http://snap.stanford.edu/data/amazon/productGraph/. I analyzed the data from two department: beauty and Toys and Games. The features includes asin – ID of the product reviewerID – ID of the reviewer reviewTime – time of the review overall – rating of … Continue reading →

Click to access BoostedTree.pdf    

Mastering XGBoost Parameters Tuning: A Complete Guide with Python Codes

https://www.ibm.com/developerworks/community/blogs/jfp/entry/Installing_XGBoost_on_Mac_OSX?lang=en