datacamp studies

chapter 5: model tuning

• tuning a CART’s hyperparameters
  • parameters - learnt from data
  • hyperparameters - not learnt from data,, set prior to training
  • hyperparameter tuning - searching for the set of optimal hyperparameters for the learning algorithm - to obtain optimal performance
• tuning an RF’s hyperparameters
  • the hyperparameters of random forests
    • CART hyperparameters
    • num estimators
    • bootstrap

linkedin realisation

didn’t realise there was a limit to how much media you could add to a linkedin education - reduced my datacamp one to just the completed track certificates

styling breakpoints

got a bit more familiar with tailwind breakpoints - why did i forget that its the breakpoint and upwards that it references

mobile breakpoint

before turning to tablet breakpoint

right after turning to tablet breakpoint

before turning into lg breakpoint

just after turning to lg breakpoint

maximum lg breakpoint on my laptop

after sorting out the breakpoints above, i realised i had used justify-between on two of the rows, which was not needed. i then adjusted the gaps between each element to ensure they looked okay before the window adjusted to the next breakpoint when the window was being resized:

just after turning from sm to md breakpoint

before md to lg breakpoint

after md to lg breakpoint