Data Science from Scratch with Python: Concepts and Practices with NumPy, Pandas, Matplotlib, Scikit-Learn and Keras

by AI Publishing

This book is for you. This book is written for beginners and novices who want to develop fundamental data science skills and learn how to build models that learn useful information from data. This book will prepare the learner for a career or further learning that involves more advanced topics. It contains the introduction and very basic concepts used in data science. The learner is not required to have any prior knowledge but some basic knowledge of mathematics is required. The working of each algorithm is traced back to its origin in probability, statistics or linear algebra which helps learners to understand the topics better. The concepts of probability and statistics are defined and explained at a rudimentary level to make things simple and easy to comprehend. For intuitive understanding, algorithms have been explained through proper visualizations and various examples. While we will focus more on the techniques normally used in Data Science, we will also explain, in-details, all the Python libraries used in any data science project. You will learn all about data Science starting from Python Coding, Data Manipulation and Preprocessing, Data Visualization then data modeling using Python. All the modules will contain hands-on projects using real-world datasets. All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill. This book is written with one goal in mind – to help beginners overcome their initial obstacles to learn Data Science from Scratch. A lot of times, newbies tend to feel intimidated by Data Science Models and Coding. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals and keys concepts before working on a project at the end of each chapter. Beginners in Data Science does not have to be scary or frustrating when you take one step at a time.

260 pages, Paperback

Published February 10, 2020