Python Data Science: A Beginner's Guide to Mastering Analysis, Visualization, and Machine Learning

by Liana A. Eich

If you are a Data Science enthusiast, then this book is for you! "Data Science A Beginner's Guide to Mastering Analysis, Visualization, and Machine Learning" is the ultimate guide for those who want to master this incredible science and impress in data analysis.

Written by a team of experts in Data Science, this book is perfect for those who want to take their first steps or for those who already have some knowledge and want to improve even more. We know that the learning journey can be difficult, but we will guide you through the way.

This book is full of valuable tips, tricks, and insights that will help you deal with data from different sources and understand the most important techniques in Data Science. You will learn about exploratory data analysis, visualization, statistical modeling, and much more.

And you know what's even better? This book is perfect to read on your Kindle! With an easy and accessible language, you can take this knowledge with you wherever you go. And on top of that, it's super easy to find, after all, we are optimizing the searches for you! So don't waste any more time and get your "Data Science A Beginner's Guide to Mastering Analysis, Visualization, and Machine Learning" now!

87 pages, Kindle Edition

Published February 20, 2023

Reviews

[Joe · Rating 4 out of 5]

A very concise overview of the major AI / machine learning algorithms and libraries using Python. A total beginner can use this book, even if your knowledge if Python is limited. It’s a non-technical book about a technical subject. If you like very short explanations interlaced with humor, this book will appeal to you. I would’ve rated it a 3 but its approach is very unique. Every example has a short, non-technical overview followed by a simple working code example. The goal appears to be to get one up and running with AI quickly, leaving the math and details for other books. From that aspect it’s a nice survey. I have to wonder if this book itself was written by AI. There’s almost no information about the purported author. Even if they wanted to be anonymous, perhaps some statement about their credentials or experience would have established more authority for readers. The only reason I could “trust” this book is that I have read others and I did run the code examples. Right now it’s free on Kindle Unlimited so that made this a bargain.