Scalable and Flexible Gradient Boosting. Supports regression, classification, ranking and user defined objectives. Runs on Windows, Linux and OS X, as well as various cloud Platforms. Supports multiple languages including C , Python, R, Java, Scala, Julia. Wins many data science and machine learning challenges. Used in production by multiple companies.
http://xgboost.readthedocs.io/
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XGBoost Documents | xgboost.readthedocs.io Reviews
https://xgboost.readthedocs.io
Scalable and Flexible Gradient Boosting. Supports regression, classification, ranking and user defined objectives. Runs on Windows, Linux and OS X, as well as various cloud Platforms. Supports multiple languages including C , Python, R, Java, Scala, Julia. Wins many data science and machine learning challenges. Used in production by multiple companies.
xgboost.readthedocs.io
Get Started with XGBoost — xgboost 0.6 documentation
http://xgboost.readthedocs.io/en/latest/get_started
Get Started with XGBoost. Links to Helpful Other Resources. Get Started with XGBoost. This is a quick start tutorial showing snippets for you to quickly try out xgboost on the demo dataset on a binary classification task. Links to Helpful Other Resources. On how to install xgboost. See How to pages. On various tips on using xgboost. On tutorials on specific tasks. See Learning to use XGBoost by Examples. For more code examples. Specify parameters via map. Agaricus.train ,. Agaricus.test ,.
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Top 1% in Kaggle: avoiding overfitting – dataEvo
http://www.dataevo.com.ar/2016/06/05/top-1-en-kaggle-avoiding-overfitting
Top 1% in Kaggle: avoiding overfitting. June 5, 2016. July 12, 2016. By Iván Gómez Villafañe. When we saw the final standing on the Santander Customer Satisfaction. Competition, we were very satisfied to see we had climbed 2087 positions, all the way up to 31 out of 5123 teams. We had send just a handful of entries about a month ago, in comparison to the dozens and even hundreds of entries other competitors pushed in to the last minute. What does. Of the contestants that had hundreds of entries, exceptio...
Kobe 投篮预测比赛解题报告 | Cupdish.com
http://cupdish.com/2016/06/15/kobe
Data = pd.read csv( "./data/data min.csv". Data = pd.read csv( "./data/data.csv". Train=data[data[target].notnull()].reset index(drop= True. Test=data[data[target].isnull()].reset index(drop= True. Class 'pandas.core.frame.DataFrame'. RangeIndex: 25697 entries, 0 to 25696. Data columns (total 25 columns):. Action type 25697 non-null object. Combined shot type 25697 non-null object. Game event id 25697 non-null int64. Game id 25697 non-null int64. Lat 25697 non-null float64. Loc x 25697 non-null int64.
How to use XGBoost in Python
http://danielhnyk.cz/how-to-use-xgboost-in-python
This personal blog serves as a sharing platform for my experiences, ideas and projects. It also helps me to manage and achieve my goals. How to use XGBoost in Python. It has been some time since I discovered Kaggle-winning estimator XGBoost. I have successfully used that in several projects and it always performed quite well. If it wasn't the best estimator, usually it was one of the best. Personally, I like it because it solves several problems:. Written in C with focus on efficiency. All I had to do was.
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XGBoost Documents
Scalable and Flexible Gradient Boosting. Supports regression, classification, ranking and user defined objectives. Runs on Windows, Linux and OS X, as well as various cloud Platforms. Supports multiple languages including C , Python, R, Java, Scala, Julia. Wins many data science and machine learning challenges. Used in production by multiple companies.
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You Have Reached Thom's Homepage. A Unique Personal Collection. The Great Southwest - The Society of Former Agents - The FBI. Barbershop Harmony - Thom's Personal Files - Other Interests and Favorite Sites. Tom served in the FBI. For 25 years, as a Special Agent, Supervisor, and Inspector's Aide. Tom is a member and the originating "Web master" of The Society. Of Former Special Agents of the FBI. Tom sings with four groups; the Barbershoppers, Diocesan Chorale, SEAS, and the "Sons" - The "Sons of Orpheus".
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