Machine Learning & Data Science A-Z: Hands-on Python 2021 Free Udemy Course

26
Machine Learning & Data Science A-Z: Hands-on Python 2021 Free Udemy Course

Free Certification Course Title: Machine Learning & Data Science A-Z: Hands-on Python 2021

Learn NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy and develop Machine Learning Models in Python

What you’ll learn:

  • Understanding the basic concepts
  • Complete tutorial about basic packages like Numpy and Pandas
  • Data Visualization
  • Data Preprocessing
  • Understanding the concept behind the algorithms
  • Developing different kinds of Machine Learning models
  • Knowing how to optimize your models’ hyperparameters
  • Learn how to develop models based on the requirement of your future business

Requirements:

  • Python’s basic syntax

    Who this course is for:

    • Anyone with any background that interested in Data Science and Machine Learning with at least high school knowledge in mathematic
    • Beginners, intermediate and even advanced students in the field of artificial intelligence, Data Science and Machine Learning
    • Students in college that looking for securing their future jobs
    • Employees that look forward to excel their job level by learning machine learning
    • Anyone who afraid of coding in Python but interested in Machine Learning Concepts
    • Any one who wants to create a new business using machine learning
    • Graduate students and researchers that want to apply machine learning models in their thesis and projects

    This course includes:

    • 14.5 hours on-demand video
    • 2 articles
    • 4 downloadable resources
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

      How to get Machine Learning & Data Science A-Z: Hands-on Python 2021?

      1. Sign Up on Udemy.com
      2. Get free course Here(Machine Learning & Data Science A-Z: Hands-on Python 2021): Click Here

      Apply Coupon Code: BBC425E49367F0B58433

      **Note: Free coupon/offer may expire soon.**

LEAVE A REPLY

Please enter your comment!
Please enter your name here