Pinned Repositories
BiobankRead
Python for UK Biobank data analysis. Author: saphir746
build-your-first-basic-machine-learning-app
Code resources for Central London Data Science Project Nights 22nd meetup.
carmen-python
Geolocation for Twitter.
cell_biology_intro
Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
Machine_Learning_predicting_Boston_house_prices
This project was conducted as part of my MSc in Health Data Analytics and Machine Learning at Imperial College London.
malaria_blood_image_classification
Melanoma_image_classification
Classification of benign or malignant melanoma images using K nearest neighbours.
my-first-blog
time_series_explainability
Anaraquelpengelly's Repositories
Anaraquelpengelly/Machine_Learning_predicting_Boston_house_prices
This project was conducted as part of my MSc in Health Data Analytics and Machine Learning at Imperial College London.
Anaraquelpengelly/Melanoma_image_classification
Classification of benign or malignant melanoma images using K nearest neighbours.
Anaraquelpengelly/Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
Anaraquelpengelly/malaria_blood_image_classification
Anaraquelpengelly/time_series_explainability
Anaraquelpengelly/cell_biology_intro
Anaraquelpengelly/Community_detection_COVID-19
Script to reproduce results from Elliott et al.
Anaraquelpengelly/covid-mobility
Anaraquelpengelly/covid-simple
Very simple stochastic COVID-19 simulation based on Anderson et al., Lancet 2020 paper - adapts this model further using a compound Poisson process for population heterogeneity
Anaraquelpengelly/Covid19_deaths_dashboard
Covid confirmed deaths dashboard made with publicly available data from the ONS
Anaraquelpengelly/Electrical_Demand_Toronto
I performed a detailed analysis of various factors that affect the electricity demand in Toronto. I also use a simple linear model tree to forecast the demand.
Anaraquelpengelly/excess_deaths_dash
Anaraquelpengelly/fastText
Library for fast text representation and classification.
Anaraquelpengelly/feature_engineering_visa
Anaraquelpengelly/geo-heatmap
:world_map: Generate an interactive geo heatmap from your Google location data
Anaraquelpengelly/Gun_death_analysis_in_the_US_2012-2014
This analysis was performed with a dataset from FiveThirtyEight (https://www.fivethirtyeight.com/).
Anaraquelpengelly/hda_msc_tutorials
Anaraquelpengelly/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Anaraquelpengelly/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
Anaraquelpengelly/pcr_test_trace
Anaraquelpengelly/pydataglobal-2021
Tutorial Material
Anaraquelpengelly/reactidd
Anaraquelpengelly/recurrent_neural_nets_lecture
Anaraquelpengelly/reveal.js
The HTML Presentation Framework
Anaraquelpengelly/spvimpy_test
Anaraquelpengelly/statsmodels
main repo of statsmodels
Anaraquelpengelly/Talks_Resources
Anaraquelpengelly/track_covid
track covid code
Anaraquelpengelly/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Anaraquelpengelly/YouTube
Code & data from YouTube videos