/Machine_Learning

Study

Primary LanguageJupyter NotebookMIT LicenseMIT

Alura Machine Learning

Classify and explore some data descriptively using pandas and visually using Seaborn.

Analysis environment

Jupyter notebook environment that requires no configuration to use.

Collaborative

  • Your notebook code runs in a virtual machine dedicated to your account. Virtual machines are recycled for a certain amount of idle time or if the window ends

  • To restore your notebook, you may need to re-upload your csv file and run Runtime and Restart and run all...

Can I use another Jupyter notebook environment to take this course?

Yes No problems. If you want to use the Anaconda seen in the pandas course, for example, you can too.