This was posted 4 years 2 months ago, and might be an out-dated deal.

Related
  • expired

Free Course - Python for Machine Learning and Data Science Bootcamp @ Udemy

870
A94369BD43507AAC3B4A
This post contains affiliate links. OzBargain might earn commissions when you click through and make purchases. Please see this page for more information.

Looks like this course is a first timer on Ozb. Rated 4.3 (218 ratings), 22,469 students enrolled.

Learn to create Machine Learning Algorithms, how to use NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, and more!

What you'll learn
Become a professional Python Developer and get hired
Master modern Python 3 fundamentals as well as advanced topics
Learn Object Oriented Programming
Learn Machine Learning with Python
Supervised and Unsupervised Learning
Create data visualizations using matplotlib and the seaborn modules with python.
Use the pandas module with Python to create and structure data.
Use the Jupyter Notebook Environment.
Use the numpy library to create and manipulate arrays.
Build an army of powerful Machine Learning models and know how to combine them to solve any problem
Make powerful analysis
Implement Machine Learning algorithms
How to improve your Machine Learning Models
Explore large datasets using data visualization tools like Matplotlib and Seaborn
Learn to use the popular library Scikit-learn in your projects
Learn to perform Classification and Regression modelling

Related Stores

Udemy
Udemy

closed Comments

  • A whole post for 1 udemy course?

    • to be faiiiiiiiiiiiiiiiir

      anything with "AI" or "ML" in it tends to run out really fast. past few times it was always $13 by the time I clicked in

      • ah! no worries

  • +1

    Must have been before on OzB because "You purchased this course on Mar. 03, 2020"

  • +1

    Surprised I dont already have it. Thanks OP

    • Same here.
      Thanks DB!

  • This is probably gonna be tough for self taught devs unless you have a good grasp of linear algebra and python already imo

Login or Join to leave a comment