L9.4 Overfitting and Underfitting
16:48
L9.5.1 Cats & Dogs and Custom Data Loaders
23:33
13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)
58:46
Developing an LLM: Building, Training, Finetuning
19:53
13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)
16:56
13.4.2 Feature Permutation Importance (L13: Feature Selection)
8:48
Harvard University Admission Interview Tricks! ✍️🖋️📘💙
13:49
Insights from Finetuning LLMs with Low-Rank Adaptation
28:33