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Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. Machine Learning for Data Science 6. Item Information. Seller assumes all responsibility for this listing. Data Plotting and Visualization 4. Data Science Fundamentals and Practical Approaches Understand Wh. Machine Learning for Data Science 6. This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Data Mining and Analysis: Fundamental Concepts and Algorithms Mohammed J. Zaki & Wagner Meria Jr., 2014 The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. 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While there are many definitions available that point out its statistical or logical aspects, others focus on its machine learning impacts. eBook details Title: Data Science Fundamentals and Practical Approaches: Understand Why Data Science Is the Next Author : Dr. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. It can also be used in colleges and universities offering courses and certifications in business data analytics, data science, and market research. Gypsy Nandi & Dr. Rupam Kumar Sharma Release Date : January 02, 2020 Genre: Computers & Internet,Books,Databases, Pages : * pages Size : 16242 KB Description Learn how to process and analysis data using Python Condition: Brand New Brand New. The book can be read by anyone who has an interest in data analysis and would like to explore more out of interest or to apply it to certain real-life problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics . You . Data Science is one of the leading research-driven areas in the modern era. At the end of . Fundamentals of Data Science1 2. The book can be read by anyone who has an interest in data analysis and would like to explore more out of interest or to apply it to certain real-life problems. Data Science Fundamentals and Practical Approaches: Understand Why Data Science is the Next of Machine Learning covers the latest syllabus prescribed by General for All University for regulation 2019.
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