Bhaskar-JR / svm-workshop

DSO6 - Data Science with Python: Support Vector Machine

Welcome to our 6th workshop in Data Science with Python series!

Author: Tania Turdean, Science Executive, UCL Data Science Society ([e-mail])

Updated by: Philip Wilkinson, Head of Science (21/22), UCL Data Science Society ([e-mail])

Proudly presented by the UCL Data Science Society

Software prerequisite

• Install Anaconda:

For Windows use: https://repo.anaconda.com/archive/Anaconda3-2020.07-Windows-x86_64.exe
For MacOS use: https://repo.anaconda.com/archive/Anaconda3-2020.07-MacOSX-x86_64.pkg

• Knowledge of Numpy, Pandas and Matplotlib (DS01, DS02, DS03) is good to have but not neccesary.

Structure

├── DS07 - Data Science with Python: Support Vector Machine
│   ├── RedBlue.csv
│   ├── RedBlueGreen.csv
│   ├── Support Vector Machine.pdf
│   ├── cycleaccidents.xlsx
│   ├── ph-recognition.csv
│   ├── problem.ipynb
│   ├── solution.ipynb
│   ├── travel-insurance.zip
    └── workshop.ipynb