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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-script-mode

Amazon SageMaker Script Mode examples

azure-utah-accidents-prediction

Predicting Car Accidents

babyagi

ce599

CE599-002 Data Science for Transportation

classifiying-names-with-a-character-level-rnn

comet

Training a linear regression on Starknet using Orion by Giza

course-registration-system

courseregistration

covid-19-north-america-

data-bootcamp

data_bootcamp_spring_2018

Material for NYU-Stern Data Bootcamp Spring 2018

dedupe-examples

:id: Examples for using the dedupe library

deltav

ETH Global Paris Hackathon Project

draftfast

A tool to automate and optimize DraftKings and FanDuel lineup construction.

elections-data

Selecting relevant features for predicting election data. After relevant features are selected, we want to try to predict the parties. I used a K means clustering algorithm to create the relevant clusters. After the clusters were created, I used sklearn to train, test, split the data. I then used GridsearchCV to find the best model for each cluster. Then, I fit each model, predict the outcome of the model on the test data, and calculate the error for each model.

ethdenver-2023

ETHDenver 2023 Buidl-a-thon

flower-catching-game

fullcourseregistrationsystem

graph-hackathon-2023

Our submission for the Graph Hackathon at UC Boulder February 2023

hackerrank-scrapper

Get hackerrank solutions of problems you have solved.

hackerranksolutions

Scraped Hackerrank Solutions

hardhat-project

Starter repo for basic hardhat project

htmlworkshop

iexec

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

learn-co-sandbox

lsh

Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents

mcc-codes

A public repository of Merchant Category Codes (MCC) in formats easier to read than most places (i.e. not a PDF)

method-arguments-lab-ruby-apply-000