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The University of Auckland
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regression-methodology Public
Notes for STATS 763: Advanced regression methodology
HTML MIT License UpdatedAug 12, 2024 -
ecostats-rshiny Public
Application for ecologists to enter, manipulate, and analyse acoustic survey data
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ecostats-modelling Public
Simulating gibbon detection data using parameter spatial statistics models
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gw-generative-models Public
Using generative adversarial networks (GANs) to generate rotating core-collapse supernovae gravitational wave signals
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gw-exploratory-analysis Public
This is mainly used for exploratory analysis in conjunction with signal generation and parameter estimation
MIT License UpdatedFeb 17, 2024 -
foundations-of-ML Public
Notes for my Foundations of Machine Learning course
MIT License UpdatedJan 25, 2024 -
gw-parameter-estimation Public
Parameter estimation using deep learning for gravitational wave astronomy
Jupyter Notebook MIT License UpdatedNov 24, 2023 -
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tree-learning Public
A repo to store my learning for foundations of machine learning
Jupyter Notebook MIT License UpdatedJul 9, 2023 -
predict-flight-delays Public
Predict flight delays based on weather and airport data
R MIT License UpdatedJun 7, 2023 -
regression-for-DS Public
A repository to track my learning for regression in statistics
HTML UpdatedJun 6, 2023 -
svm-learning Public
A small repo to document my learning on implementing SVMs
Jupyter Notebook UpdatedMay 27, 2023 -
statistical-learning-for-DS Public
A documentation on my learning for topics in statistical learning
HTML UpdatedMay 22, 2023 -
yelp-naive-bayes Public
A Naive Bayes implementation for classification of venue types based on reviews and other variables
Jupyter Notebook MIT License UpdatedMay 8, 2023