Python for Beginners 2021

Python for Beginners 2021 PDF Author: Leo Sgarbi
Publisher: Claudio Ametrano
ISBN: 9781803342757
Category :
Languages : en
Pages : 72

Get Book Here

Book Description
Python was developed in 1980s by Guido Van Rossum of Netherlands. Python was developed as an object-oriented language with an emphasis on simplicity, extensibility and flexibility. Python also comes with a large library of pre-built functionality for data science, statistical analysis and data visualizations which make this language very easy to learn and use. In this book we will focus on data science applications of Python with hands on examples that allow you to go from novice to expert in a short period of time! We will start with getting you set up with Python, introducing you to its data structures and libraries and then finally getting into the data science applications of this beautiful language. What you will find different about this book is the visual and hands on approach it takes to teaching Python. Since this book is directed at beginners, we will not drone on and on about complex concepts or make this book text heavy. Instead, we will take inspiration from the Zen of Python by Tim Peters.

Python for Beginners 2021

Python for Beginners 2021 PDF Author: Leo Sgarbi
Publisher: Claudio Ametrano
ISBN: 9781803342757
Category :
Languages : en
Pages : 72

Get Book Here

Book Description
Python was developed in 1980s by Guido Van Rossum of Netherlands. Python was developed as an object-oriented language with an emphasis on simplicity, extensibility and flexibility. Python also comes with a large library of pre-built functionality for data science, statistical analysis and data visualizations which make this language very easy to learn and use. In this book we will focus on data science applications of Python with hands on examples that allow you to go from novice to expert in a short period of time! We will start with getting you set up with Python, introducing you to its data structures and libraries and then finally getting into the data science applications of this beautiful language. What you will find different about this book is the visual and hands on approach it takes to teaching Python. Since this book is directed at beginners, we will not drone on and on about complex concepts or make this book text heavy. Instead, we will take inspiration from the Zen of Python by Tim Peters.

Ultimate Step by Step Guide to Machine Learning Using Python

Ultimate Step by Step Guide to Machine Learning Using Python PDF Author: Daneyal Anis
Publisher:
ISBN:
Category :
Languages : en
Pages : 68

Get Book Here

Book Description
*Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with complexity of the books on this subject?Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! First part of this book introduces Python basics including: 1) Data Structures like Pandas 2) Foundational libraries like Numpy, Seaborn and Scikit-Learn Second part of this book shows you how to build predictive machine learning models step by step using techniques such as: 1) Regression analysis 2) Decision tree analysis 3) Training and testing data models 4) And much more! After reading this book you will be able to: 1) Code in Python with confidence 2) Build new machine learning models from scratch 3) Know how to clean and prepare your data for analytics 4) Speak confidently about statistical analysis techniques Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world! If you are on the fence about making the leap to a new and lucrative career, this is the book for you! What sets this book apart from other books on the topic of Python and Machine learning: 1) Step by step code examples and explanation 2) Complex concepts explained visually 3) Real world applicability of the machine learning models introduced 4) Bonus free code samples that you can try yourself without any prior experience in Python! What do I need to get started? You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and machine learning and start lucrative and rewarding career! Ready to dive in to the exciting world of Python and Machine Learning? Then scroll up to the top and hit that BUY BUTTON!

Python

Python PDF Author: Ethem Mining
Publisher: Independently Published
ISBN: 9781653304271
Category :
Languages : en
Pages : 475

Get Book Here

Book Description
What do you need to learn to move from being a complete beginner to someone with advanced knowledge of Python Programming? Do you want to understand which ones are the best libraries to use, and why is Python considered the best language for machine learning? Do you want to use what you have learnt via step by step guides? Python is currently one of the most popular programming languages and it's used by established companies such as Google, Instagram and Spotify. Its large popularity is explained by its truly easy learning mechanism. Everyone can learn to use it and write the first codes in just a couple of days. The main advantages of Python are: Python is a multiplatform which means it is suitable for windows, linux and IOS as long as Python interpreter is properly installed in the hardware You can access a very large selection of libraries - there are several libraries developed by third parties, apart those standard included in Python It's totally open source and and includes a wide community This book has been created specifically for those who want to use this language for the first time and it doesn't require any pre knowledge. The best way to learn a programming language is to understand the logic behind its creation, learn all the steps tailored to create a full project, apply the basic notions via practical examples which will help you to fix the concept learnt. And this is what you will learn in this book. The aim of this book is to elevate your python knowledge to a more advanced level which will enable you to stand out from the crowd. You will learn: How to install Python step by step How to write your first Python Program How to debug a Python Program Which ones are the best libraries and how to import them How machine learning works in 7 simple steps Multiple ways to access computing power in machine learning How to utilise the best Python libraries for machine learning and much more This book is full of practical examples and practices that will have an immediate and positive impact on your knowledge. Even if you have never tried to use a programming language or you found it very difficult, do not worry. Thanks to this book, you will be able to program python like a pro in a very short time. Would You Like To Know More? Scroll to the top of the page and select the BUY NOW button.

Mastering Deep Learning Fundamentals with Python

Mastering Deep Learning Fundamentals with Python PDF Author: Richard Wilson
Publisher: Independently Published
ISBN: 9781080537778
Category :
Languages : en
Pages : 220

Get Book Here

Book Description
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Step into the fascinating world of data science.. You to participate in the revolution that brings artificial intelligence back to the heart of our society, thanks to data scientists. Data science consists in translating problems of any other nature into quantitative modeling problems, solved by processing algorithms. This book, designed for anyone wishing to learn Deep Learning. This book presents the main techniques: deep neural networks, able to model all kinds of data, convolution networks, able to classify images, segment them and discover the objects or people who are there, recurring networks, it contains sample code so that the reader can easily test and run the programs. On the program: Deep learning Neural Networks and Deep Learning Deep Learning Parameters and Hyper-parameters Deep Neural Networks Layers Deep Learning Activation Functions Convolutional Neural Network Python Data Structures Best practices in Python and Zen of Python Installing Python Python These are some of the topics covered in this book: fundamentals of deep learning fundamentals of probability fundamentals of statistics fundamentals of linear algebra introduction to machine learning and deep learning fundamentals of machine learning fundamentals of neural networks and deep learning deep learning parameters and hyper-parameters deep neural networks layers deep learning activation functions convolutional neural network Deep learning in practice (in jupyter notebooks) python data structures best practices in python and zen of python installing python The following are the objectives of this book: To help you understand deep learning in detail To help you know how to get started with deep learning in Python by setting up the coding environment. To help you transition from a deep learning Beginner to a Professional. To help you learn how to develop a complete and functional artificial neural network model in Python on your own. And more Get this book now to learn more about -- Deep learning in Python by setting up the coding environment.!

Python

Python PDF Author: John Russel
Publisher: John Russel
ISBN: 9781914176425
Category :
Languages : en
Pages : 392

Get Book Here

Book Description
Unsure where to get started with coding? Worried that learning a coding language will take too long? Or do you want to impress your friends with the programs you can make from scratch? 4 books are bundled: "Python Beginner's Guide" + "Python 7-Day Crash Course" + "Python Advanced Guide" + "Python for Data Science" to give you maximum benefits. The truth is...Learning a new coding language is not always as easy as it may seem, and it can take months to master it, some beginners are worried that programming is going to be difficult and they give up before trying. You may have a great idea for your website or make your app, but choosing to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them. The solution is a complete guide with practical projects and examples that will allow you to finally master the easiest programming language. Python: 4 Books in 1 is going to take the time to teach you, whether you are a total beginner or have worked with some coding in the past, how to handle the Python language and how to make it work for your needs. In no time, you will be able to go form a complete beginner in the world of programming and Python and turn yourself into an expert instead. Inside this book, we are going to spend some time taking a look at the basics that we need on the Python language, before moving into more advanced topics like machine learning and data science. You will learn: Why Python is Considered One of the Best Languages to Learn as a Beginner Easy Step-by-Step Instructions to Install the Python Language A Proven Method to Write your First Program in 7 Days or Less 5 Common Mistakes to Avoid when You Start Coding A Simple Strategies to Write Clean, Understandable and Flexible Code The One Thing You Need to Debug your Codes in Python Practical Exercises to Quickly Get Practice 5 Practical Applications of Data Science The Benefits of Using Python for Data Analysis Most of the books on the market only take a brief look into Python, showing some of the topics but never going deep and showing you how to work on the code. With the help of Python: 4 Books in 1, you will be able to learn more about how coding in this language works, and how even someone with no coding experience can make it work. Whether you're completely new to programming or you are looking for a new language to expand your skills, you will find this book an invaluable tool for mastering programming in Python and solving problems with practical techniques used by data scientists. Would You Like to Know More? Get your Copy Now to Master Python Programming!

Learn Programming Python for Beginners

Learn Programming Python for Beginners PDF Author: Lewis Smith
Publisher:
ISBN:
Category :
Languages : en
Pages : 208

Get Book Here

Book Description
Learn Python Programming for Beginners 2021 -The Ultimate and Complete Tutorial to Easily Get the Python Intermediate Level with Step-by-Step Practical Exercise, to Code with Python Starting from Scratch. Learning to code is essential to keep up with the times, increasing the opportunities that life has to offer you. Whether you are a tech enthusiast, enterprising student, or entrepreneur, if you choose to learn Python you are making the right and winning choice. Web development? Artificial intelligence? Automation and IoT? Python is all of this and more! Python can be used as an effective choice in any application and project, be it small or large. This characteristic makes it encountered in any modern software development scenario. Did you know that Python is one of the languages behind extremely popular services and websites like Instagram, YouTube, Reddit, and Mozilla? You cannot enter the magic and rich IT world without knowing what Python is and how it works... ... and this incredibly exhaustive tutorial will give you all the knowledge and information you need to become a Python Pro! In this book, you will: Clearly and Easily Understand What Python Is and How It Works, starting from the instructions to correctly install it on your PC to show you how it runs and works. Discover Secret Tips and Tricks to Get Started with Python for Beginners to enhance your skills and help you with daily data science tasks. If you want to make your Python coding more efficient, do not miss these tips/tricks! Learn the Best Machine Learning Algorithms for Beginners with Coding Samples in Python; it is excellent for algorithmic design, as it is used extensively in data science and machine learning technologies. Get the Fundamentals of Python Data Structures to introduce you to object-oriented design and data structures using this popular programming language, and give you the necessary knowledge to do whatever you want with Python. Learn How Python Makes Decisions to Control Flow in Programming. It is crucial to control the program execution because, in real scenarios, the situations are full of conditions, and if you want your program to mimic the real world closer, then you need to transform those real-world situations into your program. ... & Lot More! For those new to programming, the number one priority is to sit in front of the screen and learn how to program as quickly as possible! Python was designed not only to be simple to understand but also fun to use. You can create prototypes and mini-programs very quickly, to immediately experience real satisfaction. It is thanks to this simplicity that it has gained not only a great deal of popularity but also a reputation as an "easy to learn language". Python Programming for Beginners will become your best friend in helping you enter the Python world as smoothly as possible; all you need to know and the support is right here at your fingertips. You have only to click on the button below and... Order Your Copy Now to Start Coding like a PRO!

Python Machine Learning

Python Machine Learning PDF Author: Anderson Coen
Publisher:
ISBN:
Category :
Languages : en
Pages : 154

Get Book Here

Book Description
Python Machine Learning Would you want to learn how to utilize Python to produce machine learning models, but you think it would be too complicated for you? Or maybe you like to automate simple stuff with your PC, but you do not know how to do it. As a novice, you might think programming is complicated. Understanding artificial intelligence coding could take several months. Not to mention that the chance of giving up before perfecting it could be high. Therefore, you could think of employing a professional developer to shorten the time if you have time to develop. That might look like a great solution, but it is surely very costly. You still have pay for the developer if he doesn't do the proper job you want. You know the best solution for this? The perfect solution is to follow a complete programming manual with hands-on projects as well as practical exercises. This book is structured as a course with six chapters. Inside the book, you will be able to go through a first section in which basic and fundamental notions of deep learning are mention, to get to the next chapters made to help you learn advanced coding insights needed to build training data sets for the development of successful machine learning models. In detail, you will learn: The Fundamentals of Machine Learning Machine-Learning Systems An Overview of Python for Machine Learning Understanding Python Libraries for Machine Learning Introducing Neural Networks and Deep Learning Practical Data Management What makes this book different? The majority of books available on the market take a brief look into machine learning, presenting some of the subjects but never going deep. This book is not one of those. Even if you are totally new to programming in 2020 or you're simply looking to widen your abilities as a programmer, this book is perfect for you! Well, stress no more! Buy this book and also learn all... and DOWNLOAD IT NOW!

Python for Data Science

Python for Data Science PDF Author: Daniel O'Reilly
Publisher:
ISBN:
Category :
Languages : en
Pages : 112

Get Book Here

Book Description
Here's the Perfect Solution if You Want to Become the Master of Data Science and Learn Python Step-by-Step Would you like to: Learn a super competitive skill? Become irreplaceable in the future job market? Upgrade yourself to the ultimate data whizz? If so, then keep reading! Data science is one of the emerging technologies that is set to radically transform the job market. With applications in almost every industry, data science experts will have no shortage of great job offers. But, the whole field may seem a little intimidating if your background is not specific to data science. This book is here to guide you through the field of data science from the very beginning. You will learn the fundamental skills and tools to support your learning process. If you're a beginner, this is the book to help you easily understand the basics of data science. To understand data science, you also need a good understanding of how Python helps you design and implement these projects. This guidebook is going to explain how we can get all of this done. Here just a little preview of what you'll find inside this book: A thorough and simple explanation of data science and the way it works Basics of data science and fundamental skills you need to get started Data science libraries you need to learn to become a data whizz A blueprint for the most used frameworks for Python data science How to process and understand the data and design your own projects AND SO MUCH MORE! Even if you're an absolute beginner with little programming experience, you will find this book easy to follow and implement. This guide is your first step towards a successful data science career, so don't hesitate! Scroll Up, Click the "Buy Now with 1-Click", and Get Your Copy!

Python Machine Learning from Scratch

Python Machine Learning from Scratch PDF Author: Daniel Nedal
Publisher: Createspace Independent Publishing Platform
ISBN: 9781724264374
Category :
Languages : en
Pages : 130

Get Book Here

Book Description
***BUY NOW (Will soon return to 20.59) ******Free eBook for customers who purchase the print book from Amazon*** Are you thinking of learning more about Machine Learning using Python? This book would seek to explain common terms and algorithms in an intuitive way. The author used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. From AI Sciences 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. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations. Step By Step Guide and Visual Illustrations and Examples This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using machine learning. Instead of tough math formulas, this book contains several graphs and images which detail all important Machine Learning concepts and their applications. Target Users The book designed for a variety of target audiences. The most suitable users would include: Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of machine learning. Seasoned professionals in the field of artificial intelligence and machine learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? Supervised Learning Algorithms Unsupervised Learning Algorithms Semi-supervised Learning Algorithms Reinforcement Learning Algorithms Overfitting and underfitting correctness The Bias-Variance Trade-off Feature Extraction and Selection A Regression Example: Predicting Boston Housing Prices Import Libraries: How to forecast and Predict Popular Classification Algorithms Introduction to K Nearest Neighbors Introduction to Support Vector Machine Example of Clustering Running K-means with Scikit-Learn Introduction to Deep Learning using TensorFlow Deep Learning Compared to Other Machine Learning Approaches Applications of Deep Learning How to run the Neural Network using TensorFlow Cases of Study with Real Data Sources & References Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: If you want to smash Machine Learning from scratch, this book is for you. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK. Q: Does this book include everything I need to become a Machine Learning expert? A: Unfortunately, no. This book is designed for readers taking their first steps in Machine Learning and further learning will be required beyond this book to master all aspects of Machine Learning. Q: Can I have a refund if this book is not fitted for me? A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email at [email protected]. If you need to see the quality of our job, AI Sciences Company offering you a free eBook in Machine Learning with Python written by the data scientist Alain Kaufmann at http: //aisciences.net/free-books/

Python for Data Science

Python for Data Science PDF Author: Daniel O'Reilly
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 112

Get Book Here

Book Description
Do you want to learn what Data Science is and how it works? If yes, then keep reading! This book will guide you through the field of Data Science from the very beginning. Its purpose is to teach you the process of data science while also providing you with all the fundamental skills and tools to support your learning process. This book is intended for beginners looking for a way to easily understand the basics of data science. There are a lot of significant aspects that come with using Python on your data science project, and when we can combine these two topics, it becomes so much easier to handle our data, form a good analysis with it, and see some of the results that we want in the process. This guidebook is going to explain how we can get all of this done. There are a lot of benefits that we can see when it comes to working on data science, and many companies in a lot of different industries will work with this in order to ensure that we can handle how to work with their customers, how to beat out the competition, and so much more. When you are ready to work with the idea of data science, and you want to work with all of the different parts that are found with it, then make sure to check out this guidebook to help you get started. This book carefully guides you through the following topics: What is Data Science, and how it works? The basics of data science Data Science libraries Most used frameworks for Python data science How to process and understand the data And so much more! Ready to get started? Click the BUY NOW button!