Tom's repositories
test1
temp repository for skillsbuild
IBM-DevTech-capstone-presentation
This project revealed preferences of respondents from a large sample of developers.
pandas-ai
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
practical-sql-2
Code and Data for the Second Edition of "Practical SQL" by Anthony DeBarros, published by No Starch Press (2022).
StudentDataCrunchSQL
SQL problems solved against a random generated set of data points.
HR-People-Analytics-Project
A Tableau project of an HR dataset.
Pandas-Challenge-10-for-Python
Another in a series of projects offered by Data In Motion, LLC
2015-Pizza-Place-Sales-Project
A project determining various sales and trends in 2015.
Academic-Database-Design-Project-Medical-Center-Chain-DB
College semester project consisting of a complete database schema, metadata, dictionary and Entity-Relationship Diagram.
capstone-cyclistic-project
The purpose of this script is to consolidate downloaded Divvy data into a single dataframe and then conduct simple analysis to help answer the key question: “In what ways do members and casual riders use Divvy bikes differently?"
A-B-Testing
Retention rate A/B websites. Conversion rates determined.
materials
Bonus materials, exercises, and example projects for our Python tutorials
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
Trip_Advisor_Hotel_Reviews_Bert_Tokenization
Description Abstract Explore Hotel aspects and Predict the rating of each review. About this dataset Hotels play a crucial role in traveling and with the increased access to information new pathways of selecting the best ones emerged. With this dataset, consisting of 20k reviews crawled from Tripadvisor, you can explore what makes a great hotel and maybe even use this model in your travels! How to use Predict Review Rating Topic Modeling on Reviews Explore key aspects that make hotels good or bad Acknowledgements If you use this dataset in your research, please credit the authors. Citation Alam, M. H., Ryu, W.-J., Lee, S., 2016. Joint multi-grain topic sentiment: modeling semantic aspects for online reviews. Information Sciences 339, 206–223. DOI License CC BY NC 4.0 Splash banner Photo by Rhema Kallianpur on Unsplash. Splash icon Logo by Tripadvisor.
aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
Mining-the-Social-Web-3rd-Edition
The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)
Exploratory-Data-Analysis
answering the question: what automobile features drive price?
data_wrangling
data wrangling with pandas project
katacoda-scenarios
Katacoda Scenarios
data-vis-python-dash-3009706
Data Visualization in Python with Dash
ud381
Real-Time Analytics with Storm
SlidingSIR
Sliding SIR Model for Epidemic Modelling
CD-Store---Java
My WAR archive from an Advanced Java course. HTML/JSP/Apache/Tomcat implemented CD store w/o checkout functionality.
hmda-tools
Tools to make importing and analyzing mortgage application data easier. This is a public domain work of the US Government.
Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
BrainTree_SQL_Coding_Challenge_Data_Analyst
A Challenge To Test My SQL Skills For A Braintree Data Analyst Interview Process