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"This session will introduce Kaggle machine learning competition platform, and describe an effective methodology to fare well on it, developed by a Kaggle Grand Master. The methodology covers data exploratory analysis, feature engineering, model evaluation, and algorithm tuning. Machine learning competitions are a simplified version of real-world machine learning, and we will discuss additional steps that need to be added to the methodology."This webcast was produced by Jean Francois Puget, Distinguished Engineer at IBM.#DataScienceCommunityDay#GlobalAIandDataScience#GlobalDataScience