Get Free Ebook Learning Predictive Analytics with PythonBy Ashish Kumar

Get Free Ebook Learning Predictive Analytics with PythonBy Ashish Kumar

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Learning Predictive Analytics with PythonBy Ashish Kumar

Get Free Ebook Learning Predictive Analytics with PythonBy Ashish Kumar

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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

About This Book

• A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices
• Get to grips with the basics of Predictive Analytics with Python
• Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering

Who This Book Is For

If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. 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. The book will be beneficial to and can be read by any Data Science enthusiasts. Some familiarity with Python will be useful to get the most out of this book, but it is certainly not a prerequisite.

What You Will Learn

• Understand the statistical and mathematical concepts behind Predictive Analytics algorithms and implement Predictive Analytics algorithms using Python libraries
• Analyze the result parameters arising from the implementation of Predictive Analytics algorithms
• Write Python modules/functions from scratch to execute segments or the whole of these algorithms
• Recognize and mitigate various contingencies and issues related to the implementation of Predictive Analytics algorithms
• Get to know various methods of importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy
• Create dummy datasets and simple mathematical simulations using the Python numpy and pandas libraries
• Understand the best practices while handling datasets in Python and creating predictive models out of them

In Detail

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. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age.

This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy.

You'll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.

Style and approach

All the concepts in this book been explained and illustrated using a dataset, and in a step-by-step manner. The Python code snippet to implement a method or concept is followed by the output, such as charts, dataset heads, pictures, and so on. The statistical concepts are explained in detail wherever required.

• Sales Rank: #1190369 in Books
• Published on: 2016-02-15
• Released on: 2016-02-15
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .80" w x 7.50" l, 1.34 pounds
• Binding: Paperback
• 354 pages

About the Author

Ashish Kumar

Ashish Kumar has a B.Tech from IIT Madras and is a Young India Fellow from the batch of 2012-13. He is a data science enthusiast with extensive work experience in the field. As a part of his work experience, he has worked with tools, such as Python, R, and SAS. He has also implemented predictive algorithms to glean actionable insights for clients from transport and logistics, online payment, and healthcare industries. Apart from the data sciences, he is enthused by and adept at financial modelling and operational research. He is a prolific writer and has authored several online articles and short stories apart from running his own analytics blog. He also works pro-bono for a couple of social enterprises and freelances his data science skills. He can be contacted on LinkedIn at https://goo.gl/yqrfo4, and on Twitter at https://twitter.com/asis64.

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Ebook , by D. Barkley Briggs

Ebook , by D. Barkley Briggs

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Product details

File Size: 2740 KB

Print Length: 226 pages

Page Numbers Source ISBN: 0800797922

Publisher: Chosen Books (April 19, 2016)

Publication Date: April 19, 2016

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B01AO3OS0K

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Incredible. I did my first 21 day water fast this Jan after years of 21 day Daniel fasting (finally broke through the fear of a no food lengthy fast)- at 56. This book makes me excited to stretch further to join in what God is doing.

The grace to fast supplied by the living Word and exceptional Field Training officers who penned this book. If you read it you will be convinced. If you close it and try to forget it you will be convicted. Be of good cheer. The Grace to fast is spiritually supplied. Step into the water again and again or plunge in and learn to swim. Jesus saves!

I loved this book. I was provoking and inspiring. Prior to reading the book I'd already felt called to do another 40 day fast but had planned to do a juice fast as I'd done on prior occasions over the years. The first day of the fast I juiced and was not able to drink the juice and knew I was to do just water which is the context of The Jesus Fast. This book as well as the devotional Lou recommends "Consumed" were instrumental in helping me stay focused on the prayer goals of the fast. I appreciated Lou's transparency regarding his own journey in various fastings; it helps to know that someone as seasoned as Lou still has struggles as well. I was inspired by Lou's testimonies of prayer assignments and breakthroughs that came during and after his own fast(s). Existing on water and prayer for 40 days was difficult enough in 2016 with air conditioning and a comfortable bed to rest in when I grew weak and tired. I can't even begin to imagine what Jesus endured in the desert with no air conditioning and no comfortable amenities. All of the discomfort and sacrifice was worth it because during the last week of the fast tremendous breakthrough came regarding a family issue that had been at a stalemate for a long time. it was one of the prayer goals of the fast and the breakthrough was sudden and concise and has continued to bear the fruit of reconciliation.

Lou's tenacity for revival and the presence of God is infectious. The Jesus Fast not only inspires you, the revelation of scripture is powerful. Get it! Prayer and fasting has always been the missing jewel in the church. If you're praying for revival, GET IT. If not, GET IT--and you will be.

Life changing! I ready this while doing a 40 day fast and all I can say is it spoke to me on every page, every level. They break through religion and tap straight into the spirit realm of your very being. Not many books that I really read twice. The first time I read it, the second time I and studying it. Thank you from hearing from God.

Lou shares the seeds of revival and spiritual renewal in this challenging and inspiring masterpiece. He clearly shows the place fasting had in our master model Jesus and how we can engage with the Holy Spirit to move from a life of formality and procedure to one of authentic power and transforming grace.

I believe we are called to action as the Body of Christ. Called as one together to bring forth what The Lord has promised. Lou Engle put this book together as God instructed him. Let's not miss it.

An outstanding book on the purpose and passion of fasting. I've read a few resources on fasting but this one is written from one who has chosen to live a lifestyle of fasting. The stories or testimonies laced in this book are like spiritual dynamite ready to be lit in the reader.

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Download MATLAB and its Applications in EngineeringBy Raj Kumar Bansal, Ashok Goel, Manoj Kumar Sharma

Download MATLAB and its Applications in EngineeringBy Raj Kumar Bansal, Ashok Goel, Manoj Kumar Sharma

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MATLAB and its Applications in EngineeringBy Raj Kumar Bansal, Ashok Goel, Manoj Kumar Sharma

Download MATLAB and its Applications in EngineeringBy Raj Kumar Bansal, Ashok Goel, Manoj Kumar Sharma

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Book by Bansal, Raj Kumar, Goel, Ashok, Sharma, Manoj Kumar

• Sales Rank: #2937318 in Books
• Brand: Brand: Prentice Hall
• Published on: 2009-08-10
• Original language: English
• Number of items: 1
• Dimensions: 9.52" h x .77" w x 7.26" l, 1.65 pounds
• Binding: Paperback
• 560 pages

Features

• Used Book in Good Condition

About the Author

Dr Raj Kumar Bansal is presently Principal of Chitkara Institute of Engineering and Technology, Rajpura, Punjab. He received his Ph. D. from the Indian Institute of Technology Kanpur and his teaching and research experience spans more than threeand-a-half decades. His research interests include power systems, control systems, optimization techniques, and fuzzy logic systems.
Dr Ashok Kumar Goel is presently working as Principal, Indo Global College of Engineering, Abhipur. He holds a Ph. D. from Thapar Institute of Engineering and Technology, Patiala. He has more than two decades of teaching and research experience. His research interests include neural networks, fuzzy logic systems, genetic algorithms, and particle swarm optimization.
Manoj Kumar Sharma is presently working as Lecturer at the University Institute of Engineering and Technology, Panjab University, Chandigarh. He holds an M. Tech. from Guru Nanak Dev Engineering College, Ludhiana. He has almost a decade of teaching and research experience. His research interests include artificial neural networks, control systems, and energy management.

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