Chris Rawles

automl_service. Deploy AutoML as a service using Flask

spark-nba-analytics. Analyzing NBA data using Spark 2.1

twitter-nlp. A web application for real-time machine learning and sentiment analysis on Tweets

dtw. Simple speech recognition using dynamic time warping with examples

text-analytics-service-example. Deploy sentiment analysis using Flask

sentiment_analysis_twitter_model. Build an accurate sentiment model using Python with scikit-learn

gpdb_sentiment_analysis_twitter_model. Build a sentiment classifier using PL/Python on PostgreSQL, Greenplum Database, or Apache HAWQ

market-nlp. A webapp demo showcasing stock market prediction using natural language processing and machine learning

data-science-training. Jupyter Notebook

obspy. obspy scripts for managing seismic data

explaining-decision-trees-and-random-forests. Unwrapping decision trees and random forests to make them less of a black box

logistic-regression-from-scratch. Logistic regression from scratch; create a nonlinear decision boundary with feature crosses (interaction variables)

ds_tools. A collection of data science tools

deep-learning-tdd. Implementation of neural networks and deep learning using test-driven development

cdtw. A cython implementation of dynamic time warping

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Jupyter-Notebook-Logo-Change. How to change the Python logo in the top right of Jupyter Notebook

sql_magic. Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

sentiment-analysis-keras-conv. Using Convolutional Neural Net for Sentiment Analysis

query_ncedc. Query NCEDC for earthquake data using python