Applied Machine Learning Solutions with Python: SOLUTIONS FOR PYTHON, #1

By rayaan and Siddhanta Bhatta

Welcome to the world of practical machine learning! "Applied Machine Learning Solutions with Python" is your comprehensive guide to building and deploying real-world machine learning applications using the Python programming language. Whether you're an aspiring data scientist or a seasoned practitioner, this book is your key to unlocking the potential of machine learning in a hands-on, results-driven manner.

• Language: English
• Publisher: rayaan
• Release date: Sep 5, 2023
• ISBN: 9798223624424

Book preview

Applied Machine

Learning Solutions

with Python

Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques

Siddhanta Bhatta

www.bpbonline.com

FIRST EDITION 2022

Copyright © BPB Publications, India

ISBN: 978-93-91030-438

All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.

LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY The information contained in this book is true to correct and the best of author’s and publisher’s knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.

All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.

www.bpbonline.com

Dedicated to My Family and Friends

About the Author

Siddhanta Bhatta works as a Senior Software Engineer at Dell with over 6 years of experience in the field of Software Engineering, Machine Learning. He has experience using statistical modeling, natural language processing, deep learning algorithms to solve challenging business problems. Passionate about building full-stack machine learning solutions, deep reinforcement learning, and dimensionality reduction techniques. He is motivated towards building data literacy and making machine learning accessible to everyone.

Outside work, Siddhanta volunteers his spare time as a Machine Learning mentor, helping and mentoring young data scientists in taking up careers in technology.

About the Reviewers

Nishant Kumar is a machine learning engineer currently working at Branch International (a microloans fintech startup). He has over six years of experience and has successfully designed and developed machine learning and deep learning systems for multiple startups. He has implemented machine learning algorithms ranging from RandomForest, XGBoost, CNNs, LSTMs, Transformers, etc., across domains like healthcare, e commerce, education, and finance. In addition, he co-founded a startup Dijkstra Labs, which helped traditional organizations leverage machine learning. He graduated from IIT Delhi in 2015 with a B.Tech. in chemical engineering and has since then been working on artificial intelligence and data products.

Sandeep Kosanam is a senior data scientist with work experience in ML/DL life cycle. He has good experience in working on huge data by leveraging GPU infrastructure and scaling out the applications using Dask. Sandeep has good hands-on experience on NLP use cases, which can extract intents and entities. Major experience is in the Banking and Pharma sector.

He has worked on highly challenging projects that added good value along with good customer satisfaction.

Sonam Chawla Bhatia has ten years of experience in software research and development. She has worked in proof-of-concept development of various projects based on machine learning, artificial intelligence, the Internet of Things, and blockchain. Sonam pursued M.E in software engineering from the department of computer science, Thapar University, Patiala. She has worked with Samsung, Bangalore and Noida for nine years. She is currently working as a senior software engineer at Microsoft, Noida.

Acknowledgement

There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my best friend and lifelong support, Soumya, who supported me over the entire period of this book writing—I could have never completed this book without her support.

This book would not have happened without the support from my parents. They always encouraged me to pursue writing. I would like to thank Sandeep, one of my colleagues, who is like a brother to me. He has given me a lot of insights to write this book and is one of the technical reviewers also.

Finally, I would like to thank BPB Publications for giving me this opportunity to write my first book for them.

Preface

The first computer program that can be categorized as a program that can learn, first came into picture in 1952, It was a game that played checkers, created by Arthur Samuel. He also coined the term Machine Learning. I wonder if he realized how popular this word will become. But the progress in the field of Artificial Intelligence halted till 1980s. With Hopfield's recurrent neural networks, the neural networks started gaining researchers' interest again. Then a groundbreaking idea of Back propagation was invented by Carnegie Mellon professor and computer scientist Geoffrey Hinton. With that, rapid advancements came into the field of machine learning and in 2006, he published a paper showing how to train a deep neural network capable of recognizing handwritten digits with state-of-the art precision (98%). He also coins the term Deep Learning and a revolution began. Fast forward to 14 years, and unless you are living under a rock, you have at least heard of machine learning. It now auto completes your sentences while you write your email, gives you movie suggestions, ranks your search queries, defeats professionals in their