Skill Up with Python: Data Science and Machine Learning Recipes

Skill Up with Python: Data Science and Machine Learning Recipes

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 22m | 534 MB

Explore Python’s capabilities for Data Science and Machine Learning, the topics of greatest import these days in the tech world.

Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It’s widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python’s versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.

What You Will Learn:

Each project will include some different aspect of data science/ machine learning with Python that it will be both accessible and engaging while you advance your skill set.

  • Perform Sentiment Analysis on real-world text
  • Work with Image Recognition Tools
  • Scrape Basic Data from Websites
  • And much more!
Table of Contents

Introduction
1 Skill Up with Python Introduction

Lesson 1 Manipulate and Visualize Data in Jupyter
2 Learning objectives
3 Get started with Jupyter Notebooks
4 Load data into Jupyter
5 Manipulate data with Pandas
6 Visualize data

Lesson 2 Perform Sentiment Analysis
7 Learning objectives
8 Learn about Sentiment Analysis Tools in Python
9 Learn the basics of NLTK
10 Incorporate Sentiment Analysis into an application
11 Analyze with real-world data

Lesson 3 Work with Image Recognition
12 Learning objectives
13 Learn about Image Recognition tools in Python
14 Learn the basics of OpenCV
15 Incorporate image recognition into an application

Lesson 4 Scrape Data from the Internet
16 Learning objectives
17 Learn about web-scraping tools in Python
18 Learn the basics of the Beautiful Soup Library
19 Format and use scraped data
20 Modify web-scraping logic for other websites

Summary
21 Skill Up with Python Summary

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