Pinned Repositories
billboardPlacementTO
A solution for determining the most optimal placement of location-based information signs throughout Toronto.
airline-sentiment-luigi
Scikit-learn ML Model in Luigi
algorithms-1
Assignments for Coursera Algorithms, Part I, by Princeton University
billboardPlacementTO
A solution for determining the most optimal placement of location-based information signs throughout Toronto.
capsnet-notebook
An annotated implementation of CapsNet in PyTorch on MNIST heavily based on earlier implementations
CNN-cs231n
Neural Networks for Visual Recognition.
kaggle-dstl
Kaggle Competition Dstl Satellite Imagery Feature Detection
mat245
University of Toronto MAT245 Fall 2017
spark-Jupyter-AWS
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
PiercingDan's Repositories
PiercingDan/spark-Jupyter-AWS
A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support
PiercingDan/kaggle-dstl
Kaggle Competition Dstl Satellite Imagery Feature Detection
PiercingDan/mat245
University of Toronto MAT245 Fall 2017
PiercingDan/capsnet-notebook
An annotated implementation of CapsNet in PyTorch on MNIST heavily based on earlier implementations
PiercingDan/airline-sentiment-luigi
Scikit-learn ML Model in Luigi
PiercingDan/algorithms-1
Assignments for Coursera Algorithms, Part I, by Princeton University
PiercingDan/billboardPlacementTO
A solution for determining the most optimal placement of location-based information signs throughout Toronto.
PiercingDan/CNN-cs231n
Neural Networks for Visual Recognition.
PiercingDan/cosmos-analysis
PiercingDan/e-bike-survey
Machine Learning on City of Toronto e-bike Survey
PiercingDan/kaggle-dsb
My Work on Kaggle Data Science Bowl as a member of the University of Toronto Data Science Team
PiercingDan/kaggle-titanic
PiercingDan/ml-paper-summaries
Summaries of ML Papers. For myself.
PiercingDan/pandas_exercises
Practice your pandas skills!
PiercingDan/physics-simulations
PiercingDan/workshops
All materials for workshops - HackOn(Data) 2016 - Toronto + Material Modified by Danny