Pinned Repositories
azure-ml-infrastructure
Infrastructure templates for creating resource for ML projects in Azure.
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.
recommendation-systems
Python toolbox to quickly implement Recommender Systems for implicit and explicit data.
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.
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
Tsmith5151's Repositories
Tsmith5151/recommendation-systems
Python toolbox to quickly implement Recommender Systems for implicit and explicit data.
Tsmith5151/coding-challenges
Python coding challenges and implementing Machine Learning algorithms from scratch.
Tsmith5151/data-science-handbook
A collection of data science and machine learning technical concepts.
Tsmith5151/udacity-predict-housing-prices
Estimating the best selling price for the client's home through statistical analysis, Linear Regression, and Regression Trees
Tsmith5151/azure-ml-infrastructure
Infrastructure templates for creating resource for ML projects in Azure.
Tsmith5151/smu-datascience-courses
Projects/Assignments completed in SMU Data Science MS program
Tsmith5151/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/udacity-customer-segment
Leveraging unsupervised learning techniques to see what sort of patterns exist among existing customers, and what exactly makes them different.
Tsmith5151/udacity-smartcab-rl
Using reinforcement learning to train a smartcab how to drive
Tsmith5151/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
Tsmith5151/cloud9-to-power-vscode-blog
Artifacts used in the blog post Use AWS Cloud9 to Power your Visual Studio Code IDE
Tsmith5151/datascience-notebooks
Series of Data Science notebooks cover various topics.
Tsmith5151/django-example
Creating a fictitious Web Application through Django, a Python Web framework (still in development mode)
Tsmith5151/javascript-examples
Javascript Hacks
Tsmith5151/lookout-for-equipment-demo
Tsmith5151/mongodb-examples
MongoDB University: M101P Training Course for Developers (Using Pymongo to interact with the db from the Python driver)
Tsmith5151/personal-blog
Jekyll Themed Blog
Tsmith5151/python-ml-template
Boilerplate for ML projects in Python, intended for ease of access to use in dev and production.
Tsmith5151/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
Tsmith5151/slick-ml
SlickML: Slick Machine Learning in Python
Tsmith5151/Tsmith5151
Github profile
Tsmith5151/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
Tsmith5151/zenml
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.