Python for beginners using sample projects.

This tutorial teaches Machine learning with Python from scratch using project based approach.
4.08 (24 reviews)
Udemy
platform
English
language
Other
category
Python for beginners using sample projects.
1โ€ฏ244
students
2.5 hours
content
Oct 2019
last update
$19.99
regular price

Why take this course?

๐ŸŽ‰ Master Python Machine Learning with Real Projects! ๐Ÿง‘โ€๐Ÿ’ปโœจ

Course Title: Python for Beginners Using Sample Projects

Headline: Dive into Machine Learning with Python from Scratch using a Project-Based Approach!

Hey there, aspiring Python guru and machine learning enthusiast! ๐Ÿ‘‹ Are you ready to embark on an exciting journey where learning Python becomes as thrilling as solving real-world problems? If your answer is a resounding "Yes!" then this course is your golden ticket!

What's Inside the Course:

๐Ÿš€ Project-Based Learning (PBL): The most effective way to learn is by doing. In this course, we'll tackle machine learning concepts through a series of hands-on projects, ensuring you understand and can apply Python in real-world scenarios.

๐Ÿ› ๏ธ Full Syllabus: We've meticulously structured our syllabus to cover all the essentials, from setting up your environment to mastering complex machine learning algorithms. Here's a sneak peek at what you'll learn:

  • ๐Ÿ“š Chapter 1: Installing Python and PyCharm IDE - Your first steps in creating Python projects.
  • ๐Ÿš€ Chapters 2-5: Core Python concepts such as data types, functions, and control structures.
  • ๐Ÿ”ฌ Chapters 6-10: Dive into Python's best practices, data manipulation with lists, loops, conditionals, and understanding PEP 8.
  • ๐Ÿ“Š Chapters 11-20: A deep dive into machine learning fundamentals - algorithms, data preparation, and model training.
  • โš›๏ธ Chapters 21-35: Get hands-on with practical applications like linear regression, text processing, and vectorization using libraries like scikit-learn.
  • ๐Ÿ“ Chapters 36-50: Bring it all together by building a complete project - Auto Tagging of Articles using the Bag of Words model, TF-IDF, and more!

๐Ÿงช Real Project Experience: This course doesn't just teach you theory; it challenges you to build projects like Article Auto Tagging. You'll learn to handle files, apply text processing techniques, and implement machine learning models to tag articles with the right labels - just like a pro!

Why This Course?

  • Hands-On Learning: Engage with Python and machine learning concepts by building actual projects.
  • Real-World Skills: Gain practical experience that will make you stand out in the job market.
  • Expert Guidance: Learn from Shivprasad Koirala, an experienced instructor who brings clarity to complex topics.
  • Community Support: Join a community of like-minded learners and exchange ideas, code snippets, and support each other's learning journey.

๐ŸŽ“ Who Is This Course For?

  • Beginners in Python looking to start a career in data science or machine learning.
  • Individuals interested in understanding the basics of machine learning with real-world applications.
  • Those who prefer learning through project-based methods for better retention and practical skill acquisition.

๐Ÿ“… Get Started Today!

Don't wait to become an expert. Dive into Python and machine learning right now, and transform the way you learn programming. With this course, you'll not only gain knowledge but also confidence in applying it.

Enroll now and take your first step towards mastering Python for Machine Learning through hands-on, project-based learning! ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’ป๐ŸŽ“

Sign Up Today and unlock the full potential of Python with real-world machine learning projects! ๐Ÿš€๐ŸŒŸ

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2616086
udemy ID
20/10/2019
course created date
27/10/2019
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