CSML1010-Project

Certificate in Machine Learning, York University School of Continuing Studies

This is the project for CSML1010 focused on natural language understanding.

We are Group 20 in the Winter 2020 cohort.

This project belongs to Viswesh Krishnamurthy and Tony Lee.

Name		Name	Last commit message	Last commit date
Latest commit History 130 Commits
.vscode		.vscode
Plots		Plots
aside		aside
data		data
interp plots		interp plots
presentation		presentation
.gitignore		.gitignore
AG News Classification - Merged.pdf		AG News Classification - Merged.pdf
Data Cleaning Steps.txt		Data Cleaning Steps.txt
LICENSE		LICENSE
README.md		README.md
TO DO.txt		TO DO.txt
Untitled.ipynb		Untitled.ipynb
Viswesh Interpretability.ipynb		Viswesh Interpretability.ipynb
Viswesh-Interpretability.py		Viswesh-Interpretability.py
feature-engineering - VK 12th April.ipynb		feature-engineering - VK 12th April.ipynb
feature-engineering - VK 3rd April.ipynb		feature-engineering - VK 3rd April.ipynb
feature-engineering - VK 3rd April.py		feature-engineering - VK 3rd April.py
feature-engineering-extreme.py		feature-engineering-extreme.py
feature-engineering.ipynb		feature-engineering.ipynb
feature-engineering.pdf		feature-engineering.pdf
feature-engineering.py		feature-engineering.py
feature_engineering_VK_12th_April-GENSIM.ipynb		feature_engineering_VK_12th_April-GENSIM.ipynb
hyperparamter tuning.txt		hyperparamter tuning.txt
models-and-ensembling -VK Apr 29th.py		models-and-ensembling -VK Apr 29th.py
models-and-ensembling -VK May 19th.py		models-and-ensembling -VK May 19th.py
models-and-ensembling-and-lime.ipynb		models-and-ensembling-and-lime.ipynb
models-and-ensembling-and-lime.pdf		models-and-ensembling-and-lime.pdf
models-and-ensembling.ipynb		models-and-ensembling.ipynb
models-and-ensembling.pdf		models-and-ensembling.pdf
models-and-ensembling.py		models-and-ensembling.py
more-cleaning.py		more-cleaning.py
pre-processing.ipynb		pre-processing.ipynb
pre-processing.pdf		pre-processing.pdf
pre-processing.py		pre-processing.py
test_data_sample.csv		test_data_sample.csv
test_data_trial.csv		test_data_trial.csv
tony-interpret-shap.py		tony-interpret-shap.py

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