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Data Science: Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from potentially noisy, structured, or unstructured data. This book has the following topics: Introduction - Introduction to Data Science, Terminology Used in Data Science, Data Science Process, Types of data classification-data science algorithms, Applications of Data Science, Data collection and management. Data collection methods, Data collection and APIs, API Categories, Exploring and fixing data, Data storage and management, Using multiple data sources, Data collection and management, Data Analysis: Introduction, Terminology and concepts, Introduction to Statistics, Central tendencies and distributions, Variance, Distribution properties and arithmetic, Central Limit Theorem (CLT), Basic Machine Learning Algorithms: Linear Regression, Basic Machine learning algorithms: SVM, Basic Machine Learning Algorithms: Naïve Bayes, Data Visualization, Types of data visualization, Data for visualization: Data types, Data encodings, Retinal variables/Visual Encodings, Mapping Variables to Encodings, Introduction to Matplotlib, Applications, Applications of Data Science, Technologies for Visualization, Bokeh (Python), Recent Trends in Various Data Collection and Analysis Techniques.
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Dr. M. Parthiban, SASI Institute of Technology and Engineering, Andhra Pradesh -534101, Mr. T. Uday, SASI Institute of Technology and Engineering, Andhra Pradesh -534101, Mrs. PRV Lakshmi, SASI Institute of Technology and Engineering, Andhra Pradesh -534101, Mr. K. Suresh, SASI Institute of Technology and Engineering, Andhra Pradesh -534101, Mr. P. Krishnamoorthy, SASI Institute of Technology and Engineering, Andhra Pradesh -534101
Dr.M. Parthiban (Associate Professor), Mr.T.Uday (Assistant Professor), Mrs.PRV Lakshmi (Assistant Professor), Mr.K. Suresh(Assistant Professor), Mr.P.Krishnamoorthy (Assistant Professor) are working in the department of Computer Science and Engineering at SASI Institute of Technology, Andhra Pradesh - 534101. This book is useful to identify the types of data in Data Science. Able to understand how to collect the data, manage the data
Classify the data using SVM and Navie Bayesian. This book is used to explore visual analysis techniques and the latest trends in data science techniques.
