Computer Programming for Beginners. 3 books in 1.

199 Pages·2020·4.207 MB·English

by  Tim Wired

Computer Programming for Beginners

The essential guide on Python with hand-on projects.
Coding for beginners. Сonsecutive steps from the basic to
the advanced level

Tim Wired

Book 1: Learn Python
Book 2: Python Data Science
Book 3: Coding with Python
Learn Python

Crash Course to Learn Algorithms Just By Doing Some
Practice. It Will Really Help Your Career Out

TIM WIRED
Table of Contents

Introduction
Chapter 1: What is the Python Language?
How to Work with the Python Language
The Benefits of Python
Chapter 2: Understanding the World of Machine Learning
What is Machine Learning?
What Can Machine Learning Be Used For?
Machine Learning vs. Artificial Intelligence
The Different Types of Machine Learning
Chapter 3: What are These Algorithms Used For?
A Look to Begin
Avoiding Error
Keep the Programmers in the Loop
What Can Machine Learning Do?
Into the Future
Chapter 4: The K-Nearest Neighbor Algorithm
Chapter 5: Creating a Neural Networks
Chapter 6: The Linear Classifier Algorithm
Chapter 7: Working with Recurrent Neural Networks
Chapter 8: Clustering Algorithms
Chapter 9: Decision Trees and Turning Them Into Random Forests
Chapter 10: The Support Vector Machines
Chapter 11: How to Work with Validation and Optimization Techniques
Techniques for Cross-Validation
The Hyperparameter Optimization
Random and Grid Search
Chapter 12: Other Algorithms That Work Well with Python Machine Learning
Naïve Bayes
Markov Algorithm
Regression Algorithms
Q-Learning
Conclusion

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Introduction
Congratulations on purchasing Learn Python and thank you for doing so.

We are going to spend some time taking a look at how to work not only with the Python
language, and how we are able to use this to handle some of our machine learning and the
different algorithms that we are able to do with this if your business is going to handle some of
the work with data science as well. There are a lot of options and benefits of working with this
data science, and handling this whole process is going to be difficult in some situations as well.
This guidebook is going to spend some time working with data science, and how Python is going
to work to help us get the algorithms done and seeing the patterns and insights that are found
inside of that data as well.

There are a lot of different parts that happen with data science and Python that we are to handle
when it comes to our business. We will start out with a simple look at the Python language, how
to work with the benefits of Python, and so much more.

After we will look at some of the work that we are able to do with machine learning. Machine
learning is going to be some of the backbones that we are able to look at when it is time to
handle all of the different data that we are able to work with to improve our business.
Understanding how this works, and how it can combine with Python in order to work with the
algorithms will be discussed later in this guidebook as well. Along with learning some of the
information that we need about machine learning, we will also take a look at some of the
different ways that we can work with machine learning and more.

Then we get to some of the meat and potatoes that we are able to see when it comes to working
with machine learning and Python. There are so many great algorithms that you are able to focus
on when it is time to work with the data that you have, and it really depends on what kind of data
you are working with, what information you would like to find out of all that, and what we hope
to accomplish out of all this as well.

This guidebook will go more into some of the algorithms that you are able to work with along
the way as well. We will look at how to handle the decision trees and random forests, neural
networks, support vector machines, clustering, KNN, and so much more. This is going to help us
to really understand how to work with machine learning and how to pick out the right option that
we are able to work with when it is time to start with our own algorithms as well.

There is so much that we are able to work with the Python language, especially when we want to
work with machine learning and creating some of the algorithms and more that we would like to
handle. If you have been looking at data science and hoping to make it work for some of the
things that you want to do like understanding your customer, learning more about the industry,
and beating your competition, you will find that this is going to be one of the best methods to
help you to get more out of the process as well. When you are ready to get started with the
process of data science and machine learning from Python, make sure to check out this
guidebook to help you get started.

There are plenty of books on this subject on the market, thanks again for choosing this one!
Every effort was made to ensure it is full of as much useful information as possible, please enjoy
it!
Chapter 1: What is the Python Language?

Before we get a chance to go more into machine learning and all that this cool technology is able
to do for us, we first need to take a closer look at some of the coding that is going to happen
behind the scenes with this language. There are so many algorithms and other parts of the
process that go on behind the scenes here that it is important for us to take some time to learn
about them. This is so we can get a more accurate view of what is happening in Python.

The language that we are going to focus on when it is time to handle machine learning is the
Python language. There may be a lot of different options that we are able to focus on when we
want to do some machine learning. You will find that the Python language is going to be one of
the best options to work with. There are a ton of benefits that come with the Python language,
and that is one of the main reasons why we will want to choose this option over some of the
others.

This chapter is going to spend some time taking a look at the benefits of Python and all of the
reasons why it is going to provide us with some of the results that we want when it comes to
machine learning and some of the algorithms that we want to focus on here. Python is one of the
best options that we are able to use to get this done because of all the great features, and as we go
through this guidebook, we will see more about how we are able to use this for our needs.

You are more than likely excited to get into some of the work that can happen with machine
learning and some of the algorithms that we will talk about in a bit. But before we are able to get
to that point and start using this for our needs, we need to learn more about the Python language.
Some of the different parts of the Python language that we need to learn and explore before
combining it together with machine learning and data science includes:
How to Work with the Python Language
If you are interested in working with Python, there are going to be a few basic concepts that we
need to focus on ahead of time to make sure that we are able to use this language in the manner
that we would like. First, we have to understand that Python is a language that does not need to
rely on compiling to get the results that it needs. Python is going to be a language that is
interpreted. This means that you are able to run the program as soon as you make some changes
to the file. This is a nice thing because it is going to make things like iterating, revising, and
troubleshooting the program much faster than what you will see with some of the other
languages out there.

As you will quickly see when you work with the Python language, this is actually one of the
easier ones to code in. Even as someone who has not spent a lot of time working with Python,
and you haven’t been able to do any coding in the past, you will find that it is easy enough to
learn, and you can easily have a basic program up and running and ready to go in just a few
minutes when working on this option.
As you get onto the Python language, assuming that you already have it downloaded and
installed on your computer, it is a good idea to spend some time messing around and learning
about the interpreter. You are able to use this interpreter from Python to test out some of the code
that you have, without having to add it to the program to do this. This is going to be one of the
best ways for a beginner to learn more about how a specific command is going to work, or it can
allow you to write away a program that you would like to just practice with before throwing out.

We can also work with this in order to learn a bit about how Python is able to handle some of the
variables and objects that are found in your codes. Python is unique in that it is considered one of
the object-oriented languages, or OOP. This means that all of the parts that show up in the
program are going to be treated as objects.

Along the same line, you will not need to go through and declare the variables that you are doing