Started with basic DSA (Arrays) Probability, Stats Classical Machine Learning (Regression, KMeans Clustering), Went deep dive into to deep learning like CNN, RNN. Vision Transformers , GPT, LLM parameter efficient fine tuning.

They started with a dsa question. Triplet sum. The direct question from leetcode. I did it using hash, he expected me to do like optimal pointer approach. I tried but didn't went with it. The testcases passed. They went to ml/dl questions. Most of them are about roc,auc, normalisation, standardization, null hypothesis, descision trees, mlps