python data analytics: how to learn data science and use machine learning introduction to deep learning to master python for beginners

by tony f. charles

Are you  looking for  a  beginners guide?Do you want to learn how to use python  for beginners in a simple way?Do you want to enter into the new world of Python  for  beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will of Python for Data AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEAtomEclipseVariables and Data TypesDecision Making and Basic OperatorsObject Oriented ProgrammingRegular ExpressionsData HandlingLoad date from different server such as CSV, URL or SQLPython AggregationBuilding Machine Learning ModelsData ScienceData PipelinesData SegregationImportance of MetadataMachine Learning AlgorithmsScikit LearnEffective Data VisualizationEvaluating Accuracy of the ModelAdvantages of Naïve BayesK-Means ClusteringExpectation-Minimization AlgorithmMean Shift AlgorithmArtificial Neural NetworksDeep Neural NetworksArchitecture of ANN’sData Science in Real WorldVirtual AssistantsRisk and Fraud DetectionData Analytics in DetailTypes and Categories of Data AnalyticsSteps in Data MiningData Science Lifecycle and Model BuildingImproving Data Science ModelsDetermine ProblemsSearch for More DataDeep Learning and BusinessModel Interpretability

174 pages, Paperback

Published November 28, 2019