Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python By Shmueli, Galit Published by WILEY Publication Date: 2019-11-25 Subject: Business & Economics Econometrics, Business & Economics Education, Business & Economics Information Management, Computers Business & Productivity Software - Business Intelligence, Mathematics General, Mathematics Probability & Statistics General, Mathematics Probability & Statistics - General, Mathematics, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Mathematics Probability & Statistics General, Mathematics, Probability & Statistics, General, Mathematics, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Data Mining Statistics, Database & Data Warehousing Technologies, Decision Sciences, Data Mining; Business Analytics; Software; Statistics; Big Data; Data; Data Analysis; Algorithms; Data Science; Python; R Software; Statistical Methods; Datasets; Computer Code; Programming; Predictive Analytics; Prediction; Dimension Reduction Subject Keywords: data mining; business analytics; software; statistics; big data; data; data analysis; algorithms; data science; Python; R software; statistical methods; datasets; computer code; programming; predictive analytics; prediction; dimension reduction Genre: Mathematics, Probability & Statistics, General, Mathematics, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Target Audience: Professional and scholarly