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    Simplifying Data Science With Python
    Simplifying Data Science With Python
    Simplifying Data Science With Python
    Ebook150 pages41 minutes

    Simplifying Data Science With Python

    By Billy David millican

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    About this ebook

    Explore the world of data science with Simplifying Data Science with Python by Billy David Millican, a talented fusion of musician and data scientist. This accessible guide takes you from the basics of Python programming to advanced machine learning techniques, breaking down complex concepts into practical, relatable insights. Drawing from his extensive experience in both the tech and music industries, Billy shares real-world examples that illustrate the transformative power of data.

    Designed for beginners, this book provides essential resources like a glossary and case studies to enhance your learning experience. Billy's mission is to empower everyone—regardless of technical background—to harness the potential of data. Join him on this exciting journey and discover the possibilities that data science can bring to your life and career.

    LanguageEnglish
    PublisherTolkeins Book Writing
    Release dateNov 14, 2024
    ISBN9798224744930
    Simplifying Data Science With Python

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      Book preview

      Simplifying Data Science With Python - Billy David millican

      Simplifying Data

      Science with Python

      By

      Billy David Millican

      Table of Contents

      Title Page

      Chapter 1 - Getting Started with Python

      Chapter 2: Python Basics

      Chapter 3: Functions and Modules

      Chapter 4: Data Structures in Python

      Chapter 5: Introduction to Machine Learning

      Chapter 6: Getting Started with Machine Learning

      Chapter 7: Supervised Learning

      Chapter 8: Unsupervised Learning

      Chapter 9: Advanced Machine Learning Techniques

      Chapter 10: Preparing Data for Machine Learning

      Chapter 11: Training and Tuning Models

      Chapter 12: Deploying Machine Learning Models

      Chapter 13: Real- World AI Applications

      Chapter 14: Ethical Considerations in AI

      Chapter 15: The Future of AI

      Chapter 16: End-to-End Machine Learning Project

      Chapter 17: Business Intelligence (BI) and Assurance

      Index

      Credits

      Chapter 1 - Getting Started with Python

      Introduction

      Python is a versatile and beginner-friendly programming language

      That’s widely used in many areas, including web development,

      Data science, artificial intelligence, and more. 

      In this chapter, we’ll cover the basics of installing Python, setting up your development environment, and writing your first Python script

      1.1 Installing Python

      To start coding in Python, you need to install the Python interpreter

      On your computer. Follow these steps to install Python:

      1. Go to the official Python website: python.org

      2. Download the latest version of Python.

      3. Run the installer and follow the instructions. Make sure to check the box that says

      Add Python to PATH.

      1.2 Python IDEs and Tools

      An Integrated Development Environment (IDE) can make coding in

      Python easier by providing features like syntax highlighting, code

      Completion, and debugging tools. Some popular PythonIDEs include:

      PyCharm: A powerful IDE for Python with many features, suitable for

      large projects.

      Jupiter Notebook: An interactive environment perfect for data science

      and experimentation.

      VS Code: A lightweight but powerful code editor with Python support.

      Installing VS Code:

      Download VS Code from code.visualstudio.com

      Install the Python extension from the Extension marketplace for

      added Python support.

      1.3 Writing and Running Your First Python Script

      Let’s write a simple Python script that prints Hello, World! To the console

      1.  Open your IDE: Launch preferred IDE or a text editor.

      2.  Write the Code: Type the following code:

      print(Hello, World)

      3.  Save the File: Save the file with a .py extension, for example, hello.py.

      4. Run the Script: Open a terminal or command prompt, navigate to the 

      directory where you saved the file, and run:

      python hello.py  and press enter

      You should see the output: 

      Hello, World!

      1.4 Basic Python Syntax 

      Variables and Data Types:

      Variables are used to store data. Python supports various data

      types, such as integers, floats, string, and booleans.

      x = 5                       #  Integer

      y = 3.14                  #  Float

      name = Alice      #  String

      is_student = True # Boolean

      Basic Operations:

      Python supports arithmetic operations such as addition,

      subtraction, multiplication, and division.

      a = 10

      B = 3

      print(a + b)  # 13

      print(a - b)  #  7

      print(a * b)  #  30

      print(a /  b)  #  3. 3.3333

      Control Structures:

      Python uses control structures like if, for, and while to control the flow of   

      the program.

      # If statement

      If a > b:

      print(a is greater than b)

      # For loop

      for i in range (5):

      print(i)

      # While loop

      count = 0

      while count < 5:

      print(count)

      count  +=  1

      1.5 Functions and Modules

      Defining Functions:

      Functions are reusable blocks of code.  Define a function using the def    

      keyword.

      def greet(name):

      print(f"Hello,

      {name}!")

      greet(Alice).    # Output:

      Hello, Alice! 

      Importing

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