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Machine_Learning_and_Real-world_Data

Description

This is an archive of the code that I wrote for a Cambridge Part IA Course.

Content:

Tick 1: Simple Classifier

Tick 2: Naive Bayes Classifier

Tick 3: Statistical Laws of Language: Zipf's law and Heap's law

Tick 4: Statistical Testing

Tick 5: Cross-Validation and Evaluation Sets

Tick 6: Uncertainty and Human Agreement

Tick 7: Training the Hidden Markov Model

Tick 8: Viterbi algorithm

How to run the code

Python version: 3.10.12

To execute tick1.py, type:

PYTHONPATH='.' python3 exercise/tick1.py

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Cambridge Part IA Course

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