Machine Learning A-Z™: Hands-On Python & R In Data
  • Introduction
  • Introduction
    • Introduction
  • Section 1: Welcome to the course!
    • 1. Applications of Machine Learning
    • 2. Why Machine Learning is the Future
    • 3. Important notes, tips & tricks for this course
    • 4. Installing Python and Anaconda (Mac, Linux & Windows)
    • 5. Update: Recommended Anaconda Version
    • 6. Installing R and R Studio (Mac, Linux & Windows)
    • 7. BONUS: Meet your instructors
  • Section 2: Part 1 Data Preprocessing
    • 8. Welcome to Part 1 - Data Preprocessing
    • 9. Get the dataset
    • 10. Importing the Libraries
    • 11. Importing the Dataset
    • 12. For Python learners, summary of Object-oriented programming: classes & objects
    • 13. Missing Data
    • 14. Categorical Data
    • 15. WARNING - Update
    • 16. Splitting the Dataset into the Training set and Test set
    • 17. Feature Scaling
    • 18. And here is our Data Preprocessing Template!
    • Quiz 1: Data Preprocessing
  • Section 3: Part 2 Regression
    • 19. Welcome to Part 2 - Regression
  • Section 4: Simple Linear Regression
    • 20. How to get the dataset
    • 21. Dataset + Business Problem Description
    • 22. Simple Linear Regression Intuition - Step 1
    • 23. Simple Linear Regression Intuition - Step 2
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  • Instructor Notes
  • Windows
  • Windows 64 bit
  • Mac
  • Linux
  • Linux 64 bit
  1. Section 1: Welcome to the course!

5. Update: Recommended Anaconda Version

Previous4. Installing Python and Anaconda (Mac, Linux & Windows)Next6. Installing R and R Studio (Mac, Linux & Windows)

Last updated 6 years ago

Instructor Notes

On some non recent systems you might encounter dependency issues. In that case we recommend to have Anaconda 4.2.0 with Python 3.5 installed. Please find below the link of this Anaconda version for every system:

Windows

Windows 64 bit

Mac

Linux

Linux 64 bit

https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86.exe
https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe
https://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.pkg
https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86.sh
https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh