dougkelly

TopicModeling_HilaryClintonEmails

GalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn

SmartMeterResearch

Smart Meter Disaggregation + Energy Savings Recommender application using Postgres, Redshift, Kinesis, Spark (ongoing)

DBSCAN

My implementation of DBSCAN algorithm in Python. Part of GalvanizeU Machine Learning coursework.

asl-ml-immersion

AutoGPT

An experimental open-source attempt to make GPT-4 fully autonomous.

courseraforums

Anonymized versions of the discussion threads from the forums of 60 Coursera MOOCs

DK_ChurnModel

Churn Model created for GalvanizeU Data Science Leadership & Entrepreneurism course

sagemaker-experiments

Personal laboratory for SageMaker experiments

tfx

TFX is an end-to-end platform for deploying production ML pipelines

Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Intro2FunctProgScala

Work Associated w/ Functional Programming Principles in Scala MOOC

LearningToProgramInPython

This is my first repository on Github

mlops-amazon-sagemaker

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

mlops-on-gcp

notebooks

Notebooks using the Hugging Face libraries 🤗

pipelines

Machine Learning Pipelines for Kubeflow

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 ;)

tcav

Code for the TCAV ML interpretability project

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).