XGBoost Machine Learning for Data Science and Kaggle
Master XGBoost machine learning algorithm, join Kaggle contest and start Data Science career
3.96 (88 reviews)
585
students
10 hours
content
Jun 2020
last update
$49.99
regular price
What you will learn
How is xgboost algorithm working to predict different model targets
What are the roles that decision trees play in gradient boost and Xgboost modeling
Why XGBoost is so far one of the most powerful and stable machine learning methods in Kaggle contests
How to explain and set appropriate Xgboost modeling parameters
How to apply data exploration, cleaning and preparation for Xgboost method
How to effectively implement the different types of xgboost models using the packages in Python
How to perform feature engineering in Xgboost predictive modeling
How to conduct statistical analysis and feature selection in Xgboost modeling
How to explain and select the typical evaluation measures and model objectives for building Xgboost models
How to perform cross validation and determine the best parameter thresholds
How to proceed parameter tuning in Xgboost model building
How to successfully apply Xgboost into solving various machine learning problems
Related Topics
3214521
udemy ID
6/8/2020
course created date
6/14/2020
course indexed date
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