tsmith5151 Goto Github PK

azure-ml-infrastructure

Infrastructure templates for creating resource for ML projects in Azure.

cloud9-to-power-vscode-blog

Artifacts used in the blog post Use AWS Cloud9 to Power your Visual Studio Code IDE

coding-challenges

Python coding challenges and implementing Machine Learning algorithms from scratch.

data-science-handbook

A collection of data science and machine learning technical concepts.

datascience-notebooks

Series of Data Science notebooks cover various topics.

django-example

Creating a fictitious Web Application through Django, a Python Web framework (still in development mode)

javascript-examples

Javascript Hacks

lookout-for-equipment-demo

mongodb-examples

MongoDB University: M101P Training Course for Developers (Using Pymongo to interact with the db from the Python driver)

personal-blog

Jekyll Themed Blog

python-ml-template

Boilerplate for ML projects in Python, intended for ease of access to use in dev and production.

recommendation-systems

Python toolbox to quickly implement Recommender Systems for implicit and explicit data.

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

slick-ml

SlickML: Slick Machine Learning in Python

smu-datascience-courses

Projects/Assignments completed in SMU Data Science MS program

spark-delayed-flights

Exploring and predicting the probability of flights being delayed at airports across the United States given prior flight records. Apache Spark is used in processing the dataset.

tsmith5151

Github profile

udacity-capstone

Modeling voter trends and predicting the likelihood a candidate wins a primary state based on demographics in the 2016 Primary Elections for POTUS

udacity-customer-segment

Leveraging unsupervised learning techniques to see what sort of patterns exist among existing customers, and what exactly makes them different.

udacity-predict-housing-prices

Estimating the best selling price for the client's home through statistical analysis, Linear Regression, and Regression Trees

udacity-smartcab-rl

Using reinforcement learning to train a smartcab how to drive

udacity-student-intervention

Develop a model that will predict the likelihood that a given student will pass, thus helping diagnose whether or not an intervention is necessary

zenml

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.