EDA - Data Modeling & Design 1

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key Features Discover solutions for feature generation, fe……続きを見る

基于R和Python的数据科学项目案例集锦，数据分析师、数据挖掘工程师、数据科学家必读Key Features通过多个真实的数据分析案例，手把手教读者一步一步地完成从数据分析的准备到分析结果报告的整个流程案例包括汽车……続きを見る

Leverage the power of Python to build real-world feature engineering and machine learning pipelines ready to be deployed to productionKey FeaturesCraft powerful features from tabular, transactional,……続きを見る

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studies Purchase of the print or ……続きを見る

Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practice……続きを見る

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visua……続きを見る

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing……続きを見る