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Steven Newton's Projects

ace-versus-ace icon ace-versus-ace

MLB Statcast has performance data from every play at the major league level. I make a a head-to-head comparison of this data for Gerrit Cole and Jacob deGrom including hypothesis testing.

brainpickings-nlp icon brainpickings-nlp

An NLP analysis of Maria Popova's blog, brainpickings.org. I look in particular at the evolution of the themes of love, poetry, and science in her body of work.

deep-learning icon deep-learning

Python notebooks exploring topics in fully-connected deep neural networks with popular topologies like ResNet, MobileNet, YOLO, FaceNet, U-Net, and the Transformer architecture.

insilico icon insilico

A Python package to process & model ChEMBL data.

intro-to-bert-model icon intro-to-bert-model

Fine-tuning Google's SOTA, deep contextual language model on sentiment classification

montreal-nosql-openstreetmaps icon montreal-nosql-openstreetmaps

"Mapping the globe is like eating a whale - you do it one bite at a time." I use MongoDB to explore Montreal's OpenStreetMaps data.

online-sports-betting icon online-sports-betting

Most betting algorithms are competing with even better algorithms: the bookmakers'. Rather than design a competing model, Kaunitz, et al. (2017) show that it's possible to use aggregated bookmakers' odds to identify undervalued odds.

time-series icon time-series

Exercises in time series including a project modeling temperatures in Greenland.

youtube-eda icon youtube-eda

Exploration and hypothesis testing of YouTube data in various countries.

zillow-logerror-clustering icon zillow-logerror-clustering

Zillow hosted a challenge to reduce the error on their estimates. I use k-means clustering and linear regression to model house valuation estimation errors.

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