Data Science From Scratch - Part 2: Business Machine Learning: Can I to I Can

Dear learners, Thank you for your interest in the first book, which covers all you need for advanced business intelligence. Here's a brief overview of Part 1: Data Science from Scratch (Part 1: Advanced Analytics): This section comprehensively covers advanced business intelligence, starting from scratch and guiding you to implement data preprocessing pipelines and present insights. Most of the time, Part 1 is sufficient for gaining insights and presenting analytic reports. This book aims to equip you with the skills to quickly seek job and target projects on freelancing platforms. There's so much you can achieve just after completing Part 1. Now, the book you are about to read is Part 2 in the series: Data Science from Scratch (Part 2: Business Machine Learning) This part covers everything you need to work in a day-to-day business setup and dive into essentials supervised machine learning algorithms. Statistical concepts are introduced and explained when required, and the book offers additional readings for those seeking further depth. It is an extraction of my years of experience, and I hope it enriches your learning journey. More than 90% of this book is on code, comments and simulation to understand the behaviour and key concepts, you may find typos (please repost if you find, sorry about that), however, all the codes are functional and based on the used versions of stable libraries up until my last check. I am pleased to share that the book is entirely written in Jupyter Notebook, providing a real working environment preferred by the data science community. Wishing you the best of luck for your future plans! Dr. Junaid S Qazi, PhD President & Chief Data Scientist DataSkillz.com, Canada July 2023 https://www.linkedin.com/in/jqazi/