Welcome to our 6th workshop in Data Science with Python series!
Author: Tania Turdean, Science Executive, UCL Data Science Society (tania.turdean.19@ucl.ac.uk)
Updated by: Philip Wilkinson, Head of Science (21/22), UCL Data Science Society (philip.wilkinson.19@ucl.ac.uk)
Proudly presented by the UCL Data Science Society
- 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.
├── 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