This repository holds learning from class-3 of ML-Ops for Semester2
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how to setup:
conda create -n digits-classification python=3.9 conda activate digits-classification pip install -r requirements.txt
how to run:
python experiments.py
Class Notes:
-> Places of randomness during demo of an ML system:
1. creating the data split
- freezing the data
1_5. data order ( where learning is iterative )
2. model
- weight initialization