Pinned Repositories
aerosolve
A machine learning package built for humans.
akvo-caddisfly
Android app integrated with Flow
CA_Ballot_Measures
Exploring Predicting Outcomes for Ballot Measures
Global_Stunting_Visualization
Portfolio project examples
MahcineLearningProjAP1214
Fit Classification Model to Fitness Device Motion Tracking Dataset
nlp_readability
Analysis of large sample (n>8000) of articles across 5 topic tags — Design, Technology, Education, Politics and Life — published between August 2015 and April 2016. Data acquisition, cleaning, tokenization with NLTK, New Dale Chall readability scores and visulizations performed using Spark, Python and R using Databricks.
nlp_sentiment
Analysis of large sample (n>8000) of articles across 5 topic tags — Design, Technology, Education, Politics and Life — published between August 2015 and April 2016. Data acquisition, cleaning, tokenization, VADER sentiment scores, n-grams and Latent Dirichlet Allocation performed using Spark, Python and R using Databricks.
Open_Street_Map_Scrape_n_munge
Open Street Map XML parsed with LXML and BeautifulSoup and imported to SQL
State_Tax_ROI
Titanic-Survival-Analysis
Apeder's Repositories
Apeder/Global_Stunting_Visualization
Portfolio project examples
Apeder/nlp_sentiment
Analysis of large sample (n>8000) of articles across 5 topic tags — Design, Technology, Education, Politics and Life — published between August 2015 and April 2016. Data acquisition, cleaning, tokenization, VADER sentiment scores, n-grams and Latent Dirichlet Allocation performed using Spark, Python and R using Databricks.
Apeder/State_Tax_ROI
Apeder/aerosolve
A machine learning package built for humans.
Apeder/akvo-caddisfly
Android app integrated with Flow
Apeder/CA_Ballot_Measures
Exploring Predicting Outcomes for Ballot Measures
Apeder/MahcineLearningProjAP1214
Fit Classification Model to Fitness Device Motion Tracking Dataset
Apeder/nlp_readability
Analysis of large sample (n>8000) of articles across 5 topic tags — Design, Technology, Education, Politics and Life — published between August 2015 and April 2016. Data acquisition, cleaning, tokenization with NLTK, New Dale Chall readability scores and visulizations performed using Spark, Python and R using Databricks.
Apeder/Open_Street_Map_Scrape_n_munge
Open Street Map XML parsed with LXML and BeautifulSoup and imported to SQL
Apeder/Titanic-Survival-Analysis
Apeder/conversational-agent-application-starter-kit
Sample Node.js app that shows how to create a conversational assistant using Watson services.
Apeder/DAT_SF_19
Data Science Course at General Assembly San Francisco
Apeder/DeepLearningKit
Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
Apeder/developer-rhino3d-com
The developer.rhino3d.com website contents
Apeder/dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
Apeder/getting-started-python
Code samples for using Python on Google Cloud Platform
Apeder/guns-data
Apeder/HungerDeck
Apeder/IBM_Machine_Learning_Project
Apeder/mooc-setup
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
Apeder/notebooks
Notebooks
Apeder/openFEC
The first RESTful API for the Federal Election Commission. We're aiming to make campaign finance more accessible for journalists, academics, developers, and other transparency seekers.
Apeder/openhab
Source code of the open Home Automation Bus (openHAB)
Apeder/PathTools
A collection of tools and algorithms suitable to work with paths (e.g., navigational)
Apeder/personality-insights-python
Sample Python Application for the IBM Watson Personality Insights Service
Apeder/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Apeder/python-slackclient
Apeder/sentiment-and-emotion
AlchemyAPI's Sentiment Analysis and Emotion Analysis in one application.
Apeder/tensorflow
Open source software library for numerical computation using data flow graphs.
Apeder/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).