Modern Data Mining With Python
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Modern Data Mining with Python
Author: Dushyant Singh Sengar
language: en
Publisher: BPB Publications
Release Date: 2024-02-26
Data miner’s survival kit for explainable, effective, and efficient algorithms enabling responsible decision-making KEY FEATURES ● Accessible, and case-based exploration of the most effective data mining techniques in Python. ● An indispensable guide for utilizing AI potential responsibly. ● Actionable insights on modeling techniques, deployment technologies, business needs, and the art of data science, for risk mitigation and better business outcomes. DESCRIPTION "Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns. Enter into the world of data mining and machine learning. Use insights from various data sources, from social media to credit card transactions. Master statistical tools, explore data trends, and patterns. Understand decision trees and artificial neural networks (ANNs). Manage high-dimensional data with dimensionality reduction. Explore binary classification with logistic regression. Spot concealed patterns with unsupervised learning. Analyze text with recurrent neural networks (RNNs) and visuals with convolutional neural networks (CNNs). Ensure model compliance with regulatory standards. After reading this book, readers will be equipped with the skills and knowledge necessary to use Python for data mining and analysis in an industry set-up. They will be able to analyze and implement algorithms on large structured and unstructured datasets. WHAT YOU WILL LEARN ● Explore the data mining spectrum ranging from data exploration and statistics. ● Gain hands-on experience applying modern algorithms to real-world problems in the financial industry. ● Develop an understanding of various risks associated with model usage in regulated industries. ● Gain knowledge about best practices and regulatory guidelines to mitigate model usage-related risk in key banking areas. ● Develop and deploy risk-mitigated algorithms on self-serve ModelOps platforms. WHO THIS BOOK IS FOR This book is for a wide range of early career professionals and students interested in data mining or data science with a financial services industry focus. Senior industry professionals, and educators, trying to implement data mining algorithms can benefit as well. TABLE OF CONTENTS 1. Understanding Data Mining in a Nutshell 2. Basic Statistics and Exploratory Data Analysis 3. Digging into Linear Regression 4. Exploring Logistic Regression 5. Decision Trees with Bagging and Boosting 6. Support Vector Machines and K-Nearest Neighbors 7. Putting Dimensionality Reduction into Action 8. Beginning with Unsupervised Models 9. Structured Data Classification using Artificial Neural Networks 10. Language Modeling with Recurrent Neural Networks 11. Image Processing with Convolutional Neural Networks 12. Understanding Model Risk Management for Data Mining Models 13. Adopting ModelOps to Manage Model Risk
Hands-On Python: The Ultimate Guide to Learning Programming Through Projects
Tired of staring at lines of code that seem like gibberish? Want to learn Python, but find traditional textbooks dry and overwhelming? This book offers a refreshing approach. Forget memorizing syntax; let's build! "Hands-On Python" takes you on a journey of discovery through exciting projects. No more passive learning – you'll be coding real-world applications from the very first chapter. Build a text-based adventure game, design a simple chatbot, or create a data visualization program. Each project is meticulously designed to reinforce Python concepts and unleash your creativity. This book is your guide, offering clear explanations, step-by-step instructions, and insightful tips for tackling challenges. Whether you're a complete beginner or have dabbled in programming, this book is tailored to help you succeed. Master the fundamentals of Python, explore data structures, delve into object-oriented programming, and much more. "Hands-On Python" is perfect for anyone eager to learn Python in a dynamic, engaging way. Whether you're a student, aspiring developer, or simply curious about coding, this book is your key to unlocking a world of possibilities. Embrace the joy of creation, build confidence in your programming skills, and unlock the power of Python. Ready to code? Let's get started!
PYTHON FOR BEGINNERS
Are you new to software development? Are you curious about learning what artificial intelligence is? Do you want to master the Phyton programming language? Do You want to Learn Computers for Beginners? Well, this book is your best choice! There may be a lot of different languages that you can work with when it comes to the coding that you would like to work with, but none are going to provide you with the benefits that you are working with. This language is so popular and used so often that there are a few different operating systems that already have some version of Python found on them for you to use. This can make it easier to get some of the coding done that you would like, and will ensure that you will get the best benefits out of it in no time. ★★★This book covers:★★★ ★ What Is Python and His History and Why Learn Python ★ Getting Started with Python ★ Variables and Operators ★ Basic Operators ★ Data Types in Python ★ Functions and Modules ★ Defining Your Functions ★ Working with Your Module ★ Working with Files ★ Using A for Loop to Write and Read Text Files And so much more!! The Python language is more natural to read: If you take a look through some of the codes that we have later on in this guidebook, you will find that this is an easy task to read through some of the different parts of the law. Even if you have not been able to work with this language before, you will still be able to look at some of the systems and notice that you recognize the parts as well. The program is open source. This means that you won’t have to worry about someone taking over the code and ruining it. It also means that the original Python is free and available to anyone who wants to download it. This guidebook is going to take the Python language to the next level and look at some of the more advanced features that you can enjoy with this kind of writing, but when you look at some of the codes, even some of these that are more advanced than what you may have worked with in the past, you will find that it is easy to write some codes that have a lot of power, and even easy to complete your projects. If you are curious about this world, THEN CLICK TO GET YOUR COPY NOW!