programmer, with over 14+ years of experience in various data science related areas that include data warehousing, Business Intelligence (BI), analytical tool development, ad-hoc analysis, predictive modeling, data science product development, consulting, formulating strategy and executing analytics ...
Thisbookisdesignedforbusinessanalysts,BIanalysts,datascientists,orjuniorleveldataanalystswhoarereadytomovefromaconceptualunderstandingofadvancedanalyticstoanexpertindesigningandbuildingadvancedanalyticssolutionsusingPython.You’reexpectedtohavebasicdevelopmentexperiencewithPython. ...
Although many of the main ideas and techniques have been around for many decades, the use of predictive analytics has exploded recently due to the increased ability to capture and store data, which is the raw material from which we build predictive models. There are two other big factors that...
inPython'sdatasciencestack:NumPy,Pandas,Matplotlib,Seaborn,Keras,Dash,andsoon.Inadditiontohands-oncodeexamples,youwillfindintuitiveexplanationsoftheinnerworkingsofthemaintechniquesandalgorithmsusedinpredictiveanalytics.Bytheendofthisbook,youwillbeallsettobuildhigh-performancepredictiveanalyticssolutionsusingPython...
Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you unde
Keras will be our tool of choice inChapter 6,Introducing Neural Nets for Predictive Analytics, where we will learn about its basic functionality. Alvaro Fuentes 作家的话 去QQ阅读支持我 还可在评论区与我互动 Dash Dash is a Python framework for building web applications quickly and easily without ...
For most users, a pre-bundled Python environment such as Anaconda (Continuum Analytics) or Canopy (Enthought) provides an out-of-the-box distribution with IPython and all the libraries we will use in these exercises: these products are self-contained, and thus you should not have to worry ab...
understanding Who This Book Is For This book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. ...
Alvaro Fuentes创作的工业技术小说《Hands-On Predictive Analytics with Python》,已更新章,最新章节:undefined。Predictiveanalyticsisanappliedfieldthatemploysavarietyofquantitativemethodsusingdatatomakepredictions.Itinvolvesmuchmore…
Step-by-step guide to build high performing predictive applications Key Features *Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects *Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations *Learn to deploy a ...