Download PDF Small Python Book for Data Scientist Basics examples using NumPy Pandas Matplotlib and Scikitlearn eBook Daniel Gallo

By Carey Massey on Thursday, May 16, 2019

Download PDF Small Python Book for Data Scientist Basics examples using NumPy Pandas Matplotlib and Scikitlearn eBook Daniel Gallo

Download As PDF : Small Python Book for Data Scientist Basics examples using NumPy Pandas Matplotlib and Scikitlearn eBook Daniel Gallo

Are you looking for a small quick book to practice Data Science using NumPy, Pandas, Matplotlib and Scikit-learn ? (Only for Absolute Beginner)

This book give you main Python Data Science codes without deep theoretical explanations of Data Science algorithms. It is dedicated for a beginner who need to learn how to practice Data Science in Python. If you are looking for a complete book with theory and practice this book isn’t for you.

From the Publisher

Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations.

Who should read this book?

Aspiring data scientists who are looking forward to begin their journey in the vast field of data science.
This book will give you the practical exposure along with its theory explained comprehensively. This book is the perfect compilation for beginners as well as intermediate learners who intend to learn fundamentals of Data Science techniques using python.

Why this Book ?

This book will guide you step by step from the very basics to how you can start your own data science project. The best part about this book is its structure, it's structured in such a way that integrates practical to make the concepts easily understandable. It will help you to understand a basic Python Data Science tricks. Thus ensures no prior knowledge is required to start learning from this book. The content of this book is specially designed to encompass all the concepts that come under the domain of data science. This book will not only guide you through the problems and concepts of Data Science but also elaborates how one can install python and successfully use it to implement the concepts.
The example and cases studies are carefully chosen to demonstrate each algorithm and model so that you can gain a deeper understanding of the data science.

What’s Inside This Book?

Installing Python
Introduction to Python for Data Science
NumPy
Pandas
Matplotlib
Statistical tests in Data Science
Scikit-learn
Naive Bayes
Linear Regression
Logistic Regression
K-Nearest Neighbor
Trees Models
Bagging and Random Forest
K_means Clustering
Some useful practices in Data Science

Frequently Asked Questions

Q Can I have a refund if this book doesn’t fit for me?
A Yes, refund you if you aren't satisfied, for more information about the refund service please go to the help platform.

* MONEY BACK GUARANTEE BY AMAZON *