epxjk82
I am a data scientist who thrives in fast-paced, collaborative environments that favor action and learning over process and status quo.
Seattle, WA
Pinned Repositories
airbnb-data-collection
Data collection for Airbnb listings.
airbnKEY
This capstone project aims to utilize machine learning to predict the earning power of a room rented out on Airbnb.
avito-demand
Avito Demand Prediction Challenge :department_store:
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
cognitive-builder-faire
Python code snippets for using Watson APIs
courses
fast.ai Courses
data-science-machine-learning-ai-big-data-iot-resources
A curated set of resources for data science, machine learning, artificial intelligence (AI), big data, internet of things (IoT), and more. | Resources include notes, links, notebooks, articles, books, cheat sheets, whitepapers, lists, and technical papers.
dataanalysis
far-right-analysis
Analysis related to the behavior of extreme far right online communities
epxjk82's Repositories
epxjk82/airbnKEY
This capstone project aims to utilize machine learning to predict the earning power of a room rented out on Airbnb.
epxjk82/far-right-analysis
Analysis related to the behavior of extreme far right online communities
epxjk82/airbnb-data-collection
Data collection for Airbnb listings.
epxjk82/avito-demand
Avito Demand Prediction Challenge :department_store:
epxjk82/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
epxjk82/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
epxjk82/cognitive-builder-faire
Python code snippets for using Watson APIs
epxjk82/courses
fast.ai Courses
epxjk82/data-science-machine-learning-ai-big-data-iot-resources
A curated set of resources for data science, machine learning, artificial intelligence (AI), big data, internet of things (IoT), and more. | Resources include notes, links, notebooks, articles, books, cheat sheets, whitepapers, lists, and technical papers.
epxjk82/dataanalysis
epxjk82/Dog-Breed-Classifier
An example of using CNNs and Transfer Learning to classify the breed of a dog
epxjk82/dog-project
AIND Term 2 -- CNN Project
epxjk82/dog_breed_app
epxjk82/etcetera
a coding practice sandbox
epxjk82/fastai
The fast.ai deep learning library, lessons, and tutorials
epxjk82/gmplot
Plotting data on google maps, the easy (stupid) way.
epxjk82/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
epxjk82/interview-questions
Example Interview Questions
epxjk82/kaggle-toxic-starter
Extensible starter code for the Kaggle competition:
epxjk82/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
epxjk82/LearningDataSci
epxjk82/machine_learning_examples
A collection of machine learning examples and tutorials.
epxjk82/mt-climb
epxjk82/pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
epxjk82/PyramidNet
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
epxjk82/spark-install
Installation guide for Apache Spark + Hadoop on Mac/Linux
epxjk82/text_classification
all kinds of text classificaiton models and more with deep learning
epxjk82/toxic
Toxic Comment Classification Challenge
epxjk82/toxic_comments
epxjk82/youtube-8m
Starter code for working with the YouTube-8M dataset.