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790 Pages
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Unlocking the Power of Data Science: Mastering Models, Algorithms, and Core Intuition!
Welcome to the "OPTIMUM Python Power Series IV," where we embark on an exciting exploration of the vast potential of data science through the mastery of models, algorithms, and core intuition. In this book, we will delve into the world of data science, uncovering the remarkable capabilities that enable us to analyse, visualise, and derive insights from data.
Python has revolutionised the landscape of data science, providing an extensive array of tools and functionalities that streamline intricate tasks and empower data scientists to address real-world challenges. From data manipulation and preprocessing to statistical analysis, machine learning, and data visualisation, Python offers the building blocks that form the foundation of modern data science workflows.
"OPTIMUM Python Power Series IV" serves as your comprehensive guidebook to mastering machine learning and harnessing its full potential. Get ready to embark on an exhilarating journey as we delve into the world of data science, mastering models, algorithms, and core intuition. This book is your ultimate guide to unlocking the immense power and potential of Python in the field of data science.
Comprehensive Roadmap
In this book, we have meticulously curated a comprehensive roadmap that will take you through the intricacies of approaching data science projects using various models. We believe that Python is not just a programming language but a gateway to a multitude of tools and resources that empower you to tackle complex data challenges with ease and efficiency.
With "OPTIMUM Python Power Series IV" as your trusted companion, you will navigate through the vast landscape of data science. By the time you reach the end of this journey, you will possess a profound understanding of how to approach data science projects. You will gain the skills and knowledge required to efficiently handle data, perform complex computations, visualise trends and patterns, implement machine learning algorithms, and extract valuable insights from various data sources.
Target Audience
Whether you are a beginner, taking your first steps into the world of data science or an experienced practitioner looking to expand your toolkit, "OPTIMUM Python Power Series IV" aims to be a comprehensive, and practical, empowering readers to harness the full potential of Python libraries, models, and algorithms in their data science endeavours.
Why This Book?
Targeted Audience and Focus: Beginners, intermediate developers, and domain-specific professionals will find this book useful. It focuses on specific libraries or library combinations, offering in-depth coverage and practical examples for those specific areas of interest.
Pedagogical Approach: This book creates a classroom-like environment with effective learning strategies, step-by-step tutorials, practical exercises, and real-world examples to ensure that readers understand and can apply the concepts.
Book Coverage
Let's take a closer look at what this book covers:
Fundamentals of Data Science and Python Standard Library
Data manipulation and preprocessing techniques
Statistical analysis and visualisation methods
Machine learning algorithms and their applications
Advanced topics and real-world case studies
The core content begins with Getting Started, where the reader is introduced to foundational Machine Learning concepts on Day One in Unit 1, Lesson 1: Introduction to Machine Learning. Day Two expands further with Unit 2, Lesson 2, covering the basics of ML and offering a set of practice questions.
Part Two explores the Basics of Artificial Intelligence, beginning on Day Three. It spans several lessons including the Role of Mathematics, Dispersion of Data, and the Laws of Probability (in two parts), followed by Sampling and Statistical Regression. Each lesson builds upon the last, ending with practical exercises to reinforce learning.
Part Three delves into Data Processing across Days Six to Eight. Unit 3, Lessons 1 through 7 walk through understanding data, preprocessing techniques, and data transformation. This part is supported with practice questions and an assignment for application-based learning.
Part Four focuses on Supervised Learning, a fundamental concept in machine learning. Covered between Days Ten and Thirteen, Unit 4 includes lessons on regression, logistic classification, and evaluation metrics. This section includes both a practice module and an assignment to solidify understanding.
In Part Five, learners are introduced to various ML Models, including KNN, SVM, Decision Tree, and Na¯ve Bayes, taught across Days Fourteen to Sixteen in Unit 5. Each lesson is hands-on and followed by practical questions and assignments to ensure retention.
Part Six dives into Unsupervised Learning and Clustering Techniques. Spanning Days Seventeen to Nineteen, Unit 6 covers clustering models like K-Means, Hierarchical Clustering, t-SNE, DBSCAN, Spectral Clustering, Gaussian Mixture, and Mean-Shift. This segment ends with a practice section to support learner engagement.
Part Seven introduces Association Rule Learning on Day Twenty, with Unit 7 focusing on Association Rules, Apriori, ECLAT, FP-Growth, and Matrix Factorization. This part also includes a focused practice segment to encourage experimentation with association models.
Part Eight highlights the power of Ensemble Methods, delivered on Day Twenty-One through Unit 8. These lessons explore bagging, boosting, and voting techniques in three structured sessions, culminating in a practice section to reinforce concepts.
Part Nine serves as an Appendix, providing supplementary tools and reference material. It includes Online Resources, Extra Practice Questions, Assignments, Quizzes, Projects, and a Machine Learning Cheat Sheet. The book concludes with Testimonials, Acknowledgements, and a curated list of Books by the Author, offering readers additional avenues for continued learning.
ISBN: 9789334300697
ISBN-10: 9334300698
Series: Optimum- Alpha: Anybody Can Code
Published: 23rd May 2025
Format: Paperback
Language: English
Number of Pages: 790
Audience: General Adult
Publisher: Shree Shambav Ink & Imagination "Where Words Breat
Dimensions (cm): 25.4 x 20.32 x 5.46
Weight (kg): 2.08
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