notes
ML, math, & research notes (constantly in progress/updated)
math proofs
notes from Transition to Higher Mathematics, Structure and Proof by Bob A. Dumas and John E. McCarthy.
interpretability & causality
notes on causal & interpretable ML approaches
theoretical statistics
course notes from STATS200
stock price prediction using RNNs
building a simple web app for direct forecasting of stock prices using recurrent neural networks (RNNs)
variational autoencoders
math/intuition behind VAEs
data structures & algos
notes from leetcode