Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists. Alice Zheng, Amanda Casari

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists


Feature.Engineering.for.Machine.Learning.Principles.and.Techniques.for.Data.Scientists.pdf
ISBN: 9781491953242 | 214 pages | 6 Mb


Download Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists



Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Alice Zheng, Amanda Casari
Publisher: O'Reilly Media, Incorporated



Basic knowledge ofmachine learning techniques (i.e. Feature Engineering for Machine Learning Models. Download Free eBook:[PDF] Mastering Feature Engineering Principles andTechniques for Data Scientists (Early Release) - Free epub, mobi, pdf ebooks download, ebook torrents download. Intro to data science using Python focused on data acquisition, cleaning, aggregation, exploratory data analysis and visualization, feature engineering, and model creation and validation. Feature Engineering forMachine Learning Models. Ľ�者: Alice Zheng 出版社: O′Reilly 原作名: MasteringFeature Engineering Principles and Techniques for Data Scientists 出版年: 2017- 12-31 页数: 200 定价: GBP 34.50 装帧: Paperback ISBN: 9781491953242. Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Classification, regression, and clustering). Videos 1-6 of Linear Algebra review from Andrew Ng's Machine Learning course (labeled as: III.



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