Gupta Prateek's Books

Destined Love

By: Rajat Gupta

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This is the story of a young boy (Karan) from Lucknow who fell in love with a girl (Riya) during his college years. They both started having good times together, but things didn’t last long. A lot of misunderstandings and fights started in place of love and romance, and one day after their fight while Karan was driving his car, Karan met with an accident and got his legs badly damaged. After both families knew how it happened, they put them apart from each other. Karan’s father forced him to fix his wedding with his friend’s daughter. Riya, when she learned about it, called Karan to meet her once before doing this. They talked and tried to clear out their misunderstandings, but the ceremony of Karan's wedding was going on. They plan a way to stop the wedding with the help of Shivam (Karan’s closest friend). The book tells of the effort they put in to stop the wedding and whether they finally succeeded in it or not.

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156

Publisher

BFC Publications

Published Date

ISBN 10

9357641319

ISBN 13

9789357641319

The Dark Light: Amethyst Heart in the City

By: Pravin Gupta

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The Dark Light: Amethyst Heart in the City

By: Pravin Gupta

Pratik has never rode on Seltion, soaring along with the stream of wind. He knows nothing of Solus Jungle, has never seen any magical books, and has never hexed at anyone. All he knows is a boring and miserable life with his boring uncle. His lives with him — in the Golstide City — next of which is standing an elusive old house, which haunts his curiosity. But all that is about to change when he penetrates the walls of that elusive house next his home and receives magical books. Then while reading it, he gets a magical call from a man — a retired wizard, who forewarns him of an inevitable danger, and urges him to meet, calls him in Solus, where he lives. Pratik commences his journey to Solus along with his uncle, finds Lamashma — a dreadful merciless demon — threatening Hereaws. They stand on to rescue those cute creatures. In next, they meet with second danger, the Witch, who is cursed and wants to be curseless by using Amethyst Heart that lies to an incredible place no one knows about . . . and last but not the least, The Decider, Kaal, who conspires to kill him. Will Pratik be able to defend himself or Will Kaal succeed in his intention? Will The Witch find Amethyst Heart?

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292

Published Date

ISBN 10

9389808391

ISBN 13

9789389808391

The Flow of My Life

Reflections

By: Prashant Gupta

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The Flow of My Life

Reflections

By: Prashant Gupta

This memoir is written by a technocrat who in his mid-40s, decided to record his life journey until now, by bringing together and interweaving multiple layers and different strands of episodes and experiences that make up his life. The memoir begins with his roots and the trials that have deeply impacted him and his family through generations, passed down through storytelling and memory. He is deeply engaged in technology and constantly searches the intangible world of divinity for larger answers to life. It is a compelling narrative that holds out hopes for humanity in the midst of strife and struggle, offering insights to heal hearts with love and peace.

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151

Publisher

Notion Press

Published Date

ISBN 13

9798888839249

Genetic and Genomic Resources of Grain Legume Improvement

11. Grass Pea

By: Shiv Kumar,Priyanka Gupta,Surendra Barpete,A. Sarker,Ahmed Amri,P.N. Mathur,Michael Baum

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Genetic and Genomic Resources of Grain Legume Improvement

11. Grass Pea

By: Shiv Kumar,Priyanka Gupta,Surendra Barpete,A. Sarker,Ahmed Amri,P.N. Mathur,Michael Baum

Grass pea (Lathyrus sativus L.) is an important cool-season legume species with wide genetic diversity spread across the continents. With the climate change scenario it has emerged as a viable crop option for fragile agro-ecosystems, where successful cultivation of major crop species is apparently not difficult. However, grass pea seeds are known to have a neurotoxin known as β-N-oxalyl-l-α, β-diaminopropionic acid (β-ODAP). Its overconsumption as a staple food in an unbalanced diet for an extended period of 3–4 months can cause spastic paraparesis of the legs in human beings. Therefore, β-ODAP needs to be reduced through genetic means to a safe level for human consumption. Unfortunately, a paucity of efforts towards development of genetic and genomic resources for this species has hampered the progress in breeding low ODAP varieties in the past. Some progress has been made in recent years for collection, conservation, characterization, evaluation and utilization of Lathyrus genetic resources at the national and international levels, resulting in large ex situ collections in various gene banks of the world. These resources need to be systematically characterized and evaluated for genetic improvement through conventional and contemporary approaches. In spite of a large number of wild relatives with useful traits, no significant efforts have been made for alien gene transfer in grass pea. This chapter reviews the present status of genetic and genomic resources of Lathyrus and their use in current breeding programmes.

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Elsevier Inc. Chapters

Published Date

ISBN 10

0128064455

ISBN 13

9780128064450

Practical Problems In Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Sunil Kumar Gupta ( SBPD Publications )

By: Dr. V. C. Sinha,Dr. Alok Gupta,Dr. Sunil Kumar Gupta

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Practical Problems In Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Sunil Kumar Gupta ( SBPD Publications )

By: Dr. V. C. Sinha,Dr. Alok Gupta,Dr. Sunil Kumar Gupta

An excellent book for commerce students appearing in competitive, professional and other examinations. 1.Editing of Collected Data, 2 .Classification and Tabulation of Data., 3. Diagrammatic Presentation of Data, 4. Graphic Presentation of Data, 5. Construction of Frequency Distribution, 6. Measures of Central Tendency, 7. Geometric Mean and Harmonic Mean, 8. Partition Values, 9. Measures of Dispersion, 10. Measures of Skewness, 11. Moments, 12. Measures of Kurtosis, 13. Correlation, Appendix 14. Index Numbers, 15. Analysis of Time Series.

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376

Publisher

SBPD Publication

Published Date

ISBN 10

9351674169

ISBN 13

9789351674160

Practical Data Science with Jupyter

Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)

By: Prateek Gupta

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Practical Data Science with Jupyter

Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition)

By: Prateek Gupta

Solve business problems with data-driven techniques and easy-to-follow Python examples Ê KEY FEATURESÊÊ _ Essential coverage on statistics and data science techniques. _ Exposure to Jupyter, PyCharm, and use of GitHub. _ Real use-cases, best practices, and smart techniques on the use of data science for data applications. DESCRIPTIONÊÊ This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you willÊ clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies. This book also presents some best practices that will help you to be industry-ready. This book focuses on how to practice data science techniques while learning their concepts using Python and Jupyter. This book is a complete answer to the most common question that how can you get started with Data Science instead of explaining Mathematics and Statistics behind the Machine Learning Algorithms. WHAT YOU WILL LEARN _ Rapid understanding of Python concepts for data science applications. _ Understand and practice how to run data analysis with data science techniques and algorithms. _ Learn feature engineering, dealing with different datasets, and most trending machine learning algorithms. _ Become self-sufficient to perform data science tasks with the best tools and techniques. Ê WHO THIS BOOK IS FORÊÊ This book is for a beginner or an experienced professional who is thinking about a career or a career switch to Data Science. Each chapter contains easy-to-follow Python examples. Ê TABLE OF CONTENTS 1. Data Science Fundamentals 2. Installing Software and System Setup 3. Lists and Dictionaries 4. Package, Function, and Loop 5. NumPy Foundation 6. Pandas and DataFrame 7. Interacting with Databases 8. Thinking Statistically in Data Science 9. How to Import Data in Python? 10. Cleaning of Imported Data 11. Data Visualization 12. Data Pre-processing 13. Supervised Machine Learning 14. Unsupervised Machine Learning 15. Handling Time-Series Data 16. Time-Series Methods 17. Case Study-1 18. Case Study-2 19. Case Study-3 20. Case Study-4 21. Python Virtual Environment 22. Introduction to An Advanced Algorithm - CatBoost 23. Revision of All ChaptersÕ Learning

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437

Publisher

BPB Publications

Published Date

ISBN 10

9389898064

ISBN 13

9789389898064

Data Science with Jupyter

By: Gupta Prateek

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Data Science with Jupyter

By: Gupta Prateek

Step-by-step guide to practising data science techniques with Jupyter notebooksKey features Acquire Python skills to do independent data science projects Learn the basics of linear algebra and statistical science in Python way Understand how and when they're used in data science Build predictive models, tune their parameters and analyze performance in few steps Cluster, transform, visualize, and extract insights from unlabelled datasets Learn how to use matplotlib and seaborn for data visualization Implement and save machine learning models for real-world business scenarios Description Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool such as Jupyter Notebook in order to succeed in the role of a data scientist. The book starts with a brief introduction to the world of data science and the opportunities you may come across along with an overview of the key topics covered in the book. You will learn how to setup Anaconda installation which comes with Jupyter and preinstalled Python packages. Before diving in to several supervised, unsupervised and other machine learning techniques, you'll learn how to use basic data structures, functions, libraries and packages required to import, clean, visualize and process data. Several machine learning techniques such as regression, classification, clustering, time-series etc have been explained with the use of practical examples and by comparing the performance of various models. By the end of the book, you will come across few case studies to put your knowledge to practice and solve real-life business problems such as building a movie recommendation engine, classifying spam messages, predicting the ability of a borrower to repay loan on time and time series forecasting of housing prices. Remember to practice additional examples provided in the code bundle of the book to master these techniques.Who this book is forThe book is intended for anyone looking for a career in data science, all aspiring data scientists who want to learn the most powerful programming language in Machine Learning or working professionals who want to switch their career in Data Science. While no prior knowledge of Data Science or related technologies is assumed, it will be helpful to have some programming experience.Table of contents1. Data Science Fundamentals2. Installing Software and Setting up3. Lists and Dictionaries4. Function and Packages5. NumPy Foundation6. Pandas and Dataframe7. Interacting with Databases8. Thinking Statistically in Data Science9. How to import data in Python?10. Cleaning of imported data11. Data Visualization12. Data Pre-processing13. Supervised Machine Learning14. Unsupervised Machine Learning15. Handling Time-Series Data16. Time-Series Methods 17. Case Study - 118. Case Study - 219. Case Study - 320. Case Study - 4About the authorPrateek is a Data Enthusiast and loves the data driven technologies. Prateek has total 7 years of experience and currently he is working as a Data Scientist in an MNC. He has worked with finance and retail clients and has developed Machine Learning and Deep Learning solutions for their business. His keen area of interest is in natural language processing and in computer vision. In leisure he writes posts about Data Science with Python in his blog.

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323

Publisher

BPB Publications

Published Date

ISBN 10

9389423708

ISBN 13

9789389423709

Quarterly Projection Model for India

Key Elements and Properties

By: Mr.Jaromir Benes,Kevin Clinton,Asish George,Pranav Gupta,Joice John,Ondra Kamenik,Mr.Douglas Laxton,Pratik Mitra,G.V. Nadhanael,Rafael Portillo,Hou Wang,Fan Zhang

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Quarterly Projection Model for India

Key Elements and Properties

By: Mr.Jaromir Benes,Kevin Clinton,Asish George,Pranav Gupta,Joice John,Ondra Kamenik,Mr.Douglas Laxton,Pratik Mitra,G.V. Nadhanael,Rafael Portillo,Hou Wang,Fan Zhang

This paper outlines the key features of the production version of the quarterly projection model (QPM), which is a forward-looking open-economy gap model, calibrated to represent the Indian case, for generating forecasts and risk assessment as well as conducting policy analysis. QPM incorporates several India-specific features like the importance of the agricultural sector and food prices in the inflation process; features of monetary policy transmission and implications of an endogenous credibility process for monetary policy formulation. The paper also describes key properties and historical decompositions of some important macroeconomic variables.

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International Monetary Fund

Published Date

ISBN 10

1475584229

ISBN 13

9781475584226

The Dark Light: Amethyst Heart in the City

By: Pravin Gupta

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The Dark Light: Amethyst Heart in the City

By: Pravin Gupta

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292

Published Date

ISBN 10

9389808391

ISBN 13

9789389808391

A Bouquet of Thoughts

By: Robin Gupta

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A Bouquet of Thoughts

By: Robin Gupta

Chiefly memoirs of an Indian civil servant.

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Page Count

322

Published Date

ISBN 10

8176622206

ISBN 13

9788176622202

Book's by Gupta Prateek

Destined Love

Destined Love

The Dark Light: Amethyst Heart in the City

The Dark Light: Amethyst Heart in the City

The Flow of My Life

The Flow of My Life

Genetic and Genomic Resources of Grain Legume Improvement

Genetic and Genomic Resources of Grain Legume Improvement

Practical Problems In Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Sunil Kumar Gupta ( SBPD Publications )

Practical Problems In Business Statistics by Dr. V. C. Sinha, Dr. Alok Gupta, Dr. Sunil Kumar Gupta ( SBPD Publications )

Practical Data Science with Jupyter

Practical Data Science with Jupyter

Data Science with Jupyter

Data Science with Jupyter

Quarterly Projection Model for India

Quarterly Projection Model for India

The Dark Light: Amethyst Heart in the City

The Dark Light: Amethyst Heart in the City

A Bouquet of Thoughts

A Bouquet of Thoughts

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