Data Science from scratch for Beginners with Hands-On Projects
Are you looking for a hands-on approach to learn Data Science fast?
Do you need to start learning Machine Learning Fundamentals?
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. 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.
What this book offers...
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.
Clear and Easy to Understand Solutions
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.
What this book aims to do...
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.
Ready to start practicing and start learning Data Science from Scratch? Click the BUY button now to download this book
Topics Covered:
- Preliminary to Understand Data Science
- Overview of Python and Data Processing
- Statistics and Probability
- Supervised Learning Techniques
- Unsupervised Learning Techniques
- Neural Networks and Deep Learning
- Reinforcement Learning Techniques
- ..and more...
Click the BUY button and download the book now to start learning Data Science.
"I always find this data science introductory bookvery simple written and very easy to follow. I recommend it for any beginnerswant to learn Data Science from scratch.
The book is a very well practical guide step by step for data sciencewith python. A Great resource for anyone who wants to get started on Data Science."
-Ph.D Amir Sharif, Data scientist Consultant at BCG.
"In his book Data Science from Scratch with Python, Ahmed focuson real-world data analysis, not on purely theoretical methods that maylookpretty on paper, but which in many cases are largely ineffective inpractice.
The book is very great one for the beginners and all students in Data Science. I always recommend the book for newbies in AI and data science."
- James Lee, Data ScienceEngineer and Quantitative Analyst at Microsoft.
