Skip to content

Kubiuks/lab_sheets_public

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

COMS30035 Machine Learning Labs

You are encouraged to install Anaconda (Python 3.7) as it bundles all the course's requirements. Alternatively for manual installation, you will require Python 3.7.x with 'Jupyter' and 'iPython' both possibly in version 4.x.x. All the packages needed will be listed at the beginning of each lab sheet.

If you login remotely to the university Linux machines, you should be able to just run Jupyter Notebook with this command

$ /opt/anaconda3-4.4.0/bin/jupyter notebook

For help on logging in remotely to Bristol machines see here.

Lab Labsheet
1 Introduction to numpy and scikit learn

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published