Oreilly – Skill Up with Python: Data Science and Machine Learning Recipes 2024-1

Skill Up with Python: Data Science and Machine Learning Recipes. This course teaches Python’s capabilities in the areas of data science and machine learning, two key areas in today’s technology. Python has become one of the most popular languages ​​for programmers due to its simplicity, readability, and extensive libraries. From web development to data analysis, scientific computing, and artificial intelligence, the language has a wide range of applications. With a hands-on approach and real-world projects, this course will strengthen your skills in data analysis, machine learning, web mining, and other advanced topics. Backed by Python’s strong support community, this course is an effective way to advance your programming expertise.

What you will learn:

Each project will cover a different aspect of Data Science/Machine Learning with Python, making it both accessible and engaging while you enhance your skill set.

• Performing Sentiment Analysis on Real-World Texts
• Working with Image Recognition Tools
• Basic Data Scraping from Websites
• And…

Who is this course suitable for?

• Software developer
• Data Analyst/Scientist
• Machine Learning Engineer
• Web developer
• DevOps Engineer

Course details

• Publisher: Oreilly
• Instructor: Shaun Wassell
• Training level: Beginner to advanced
• Training duration: 2 hours and 22 minutes

Course topics

• Introduction
• Skill Up with Python: Introduction
• Lesson 1: Manipulate and Visualize Data in Jupyter
• Learning objectives
• 1.1 Get started with Jupyter Notebooks
• 1.2 Load data into Jupyter
• 1.3 Manipulate data with Pandas
• 1.4 Visualize data
• Lesson 2: Perform Sentiment Analysis
• Learning objectives
• 2.1 Learn about Sentiment Analysis Tools in Python
• 2.2 Learn the basics of NLTK
• 2.3 Incorporate Sentiment Analysis into an application
• 2.4 Analyze with real-world data
• Lesson 3: Work with Image Recognition
• Learning objectives
• 3.1 Learn about Image Recognition tools in Python
• 3.2 Learn the basics of OpenCV
• 3.3 Incorporate image recognition into an application
• Lesson 4: Scrape Data from the Internet
• Learning objectives
• 4.1 Learn about web-scraping tools in Python
• 4.2 Learn the basics of the Beautiful Soup Library
• 4.3 Format and use scraped data
• 4.4 Modify web-scraping logic for other websites
• Summary
• Skill Up with Python: Summary

Course prerequisites

• Python experience and app development background

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