Self assignment - level 1 - module 3 amath sow

  1. Technical area:
  • gathering more data and use panda to organize and clean the data

  • perform EDA and some visualization via matplotlib to better understand the distrubution of the data

  • use skitlearn library and build classification model after spliting the data

  • Use cosinus similary to build basic recommendation system

  1. Tools:
  • jupyter notebook on Vs code

  • pandas, numpy, matplotlib

  • skitlearn

  1. soft skills
  • team collaboration
  • learning online , tutorial
  • libraries exploration
  1. Achievements:
  • perform data cleaning and EDA
  • build classification model
  • build basic recommendation system using cosinus similarity
  • Test the recommander