Commit Graph

  • 4713c6ed1a Add pip installarion to readme main lars 2025-10-04 11:07:37 +02:00
  • 3bb72da70f Finalize report lars 2025-10-04 11:06:05 +02:00
  • d5ccf2e2ad Add some minor sentences lars 2025-10-03 16:13:24 +02:00
  • 2e6723813d Hopefully I'm done lars 2025-10-02 19:01:46 +02:00
  • f000747a0d modified: report/conversations.json new file: requirements.txt lars 2025-10-02 17:42:18 +02:00
  • 7abfa01c0e Fix minor mistakes and add report for ex 39 lars 2025-09-25 15:47:03 +02:00
  • d93ac3436d Finish project. Hopefully lars 2025-09-24 17:51:09 +02:00
  • e20075fc4e Write a significant portion of the report lars 2025-09-17 10:25:09 +02:00
  • 1eaa75a9cf Cherry pick pretty plots lars 2025-09-11 20:02:41 +02:00
  • 977059e8c2 Implement new ideas for plots. Heatmap for ridge poly-deg vs. lambda and combined bias variance tradeoff lars 2025-09-10 18:09:14 +02:00
  • f79b4c01f6 Finish creating and saving all the plots lars 2025-09-10 09:58:24 +02:00
  • 40f7862055 Add kfold cross validation for comparison against bootstrapping and comparison between cost functions lars 2025-09-09 19:26:29 +02:00
  • fd29ebfdad Implement sgd and bootstrapping methods. Hyperparameter tuning for the above mentioned. lars 2025-09-09 17:28:08 +02:00
  • 89a8381a98 Add all needed optimizers and compare them. Also implement Lasso regression and compare with the two other cost functions. lars 2025-09-09 12:30:30 +02:00
  • 582089aed1 Move Gradient Descent to a Class based architecture to make use of inheritance and precomputations. lars 2025-09-08 16:03:38 +02:00
  • 1a0324d473 Start coding of solutions lars 2025-09-08 13:28:06 +02:00
  • 2395d64ca8 Add basic report lars 2025-09-03 10:22:00 +02:00
  • 9e12a5339a Initial Setup lars 2025-09-03 10:08:59 +02:00