jscottcronin Goto Github PK
Name: Scott Cronin
Type: User
Company: ShopRunner
Location: Salt Lake City, UT
Name: Scott Cronin
Type: User
Company: ShopRunner
Location: Salt Lake City, UT
A very brief introduction to Natural Language Processing programming in Python
Tensorflow implementation of deep convolutional - generative adversarial networks deployed on AWS gpu instance
GitHub command bar for Alfred 2
Alfred workflow to open current Finder window in Terminal/iTerm and vice versa.
:metal: A collection of Alfred 2 workflows that will rock your world
Workflows for Alfred 2
TensorFlow - A curated list of dedicated resources http://tensorflow.org
This IPython Notebook contains a quantitative pricing model created for Fast Iron in the Kaggle competition 'Blue Book for Bulldozers'. The model predicts the sale price of a particular piece of heavy equipment so that Fast Iron can create a 'Blue Book' to enable customers to valuate their heavy equipment fleet at auction. Here python is used as a medium to apply supervised and unsupervised machine learning techniques to explain 88.90% of the variance observed in the training set and score an RMSLE of 0.745 when predicting values on the test set. In this competition 590 data scientists created predictive models based on a 'training dataset', provided by Fast Iron, and then used those models to predict sale prices on a 'test set' to compete for a $10,000 dollar award for the team or individual with the most accurate model. The model and methods used for my entry, which scored in the upper 20%, is shown in BlueBook.ipynb.
Demonstration of clean dataframe analysis using Pandas library
A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.
repo for coursera data science course by johns hopkins
fast.ai Courses
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A competition to build fashion image tagging models.
Mirror of Apache Flink
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
Build a Jekyll blog in minutes, without touching the command line.
Submission for the Rossman Kaggle Competition
Lessons learned the hard way through over 30+ data science interviews
Library for factorization machines
Learning to use libfm and pywfm on movielens dataset
Infra to run LLMs
playing around with luigi module
Machine learning metrics for distributed, scalable PyTorch applications.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.