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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

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Publisher	Packt Publishing
ISBN 10	1788992369
Book Description	Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey Features: - A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices - Learn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering - Master open source Python tools to build sophisticated predictive models Book Description: Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python.You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: 1. Learning Predictive Analytics with Python2. Mastering Predictive Analytics with PythonWhat You Will Learn: - Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries - Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy - Master the use of Python notebooks for exploratory data analysis and rapid prototyping - Get to grips with applying regression, classification, clustering, and deep learning algorithms - Discover advanced methods to analyze structured and unstructured data - Visualize the performance of models and the insights they produce - Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis 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 on from a conceptual understanding of advanced analytics and become an expert in designing and building advanced analytics solutions using Python. If you are familiar with coding in Python (or some other programming/statistical/scripting language) but have never used or read about predictive analytics algorithms, this book will also help you.
Book Format	Paperback
Publication Date	26 December 2017

ISBN 13	9781788992367
About the Author	Joseph Babcock has spent more than a decade working with big data and AI in the e-commerce, digital streaming, and quantitative finance domains. Through his career he has worked on recommender systems, petabyte scale cloud data pipelines, A/B testing, causal inference, and time series analysis. He completed his PhD studies at Johns Hopkins University, applying machine learning to the field of drug discovery and genomics.Ashish Kumar is seasoned data science professional and a published author with a social bent of mind. An IIT Madras grad and a Young India Fellow, he has 6+ years of experience in implementing and deploying Data Science & ML solutions for challenging industry problems in both hands-on and managerial roles. NLP, IoT Analytics, R Shiny development, Customer & Product Analytics are some of his core expertise and is fluent in Python and R. When not crunching data, he sneaks to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling startups.
Author	Ashish Kumar
Language	English
Number of Pages	660 pages

Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

426.00

 49614%