Brad Taylor's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
architecture-decision-record
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
practical-statistics-for-data-scientists
Code repository for O'Reilly book
BERT-related-papers
BERT-related papers
NLU-Evaluation-Data
Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.
cognitive-social-crm
An application that monitors a Twitter feed and determines customer sentiment using IBM Watson Assistant, Tone Analyzer, Natural Language Understanding, as well as CloudantDB
dataflow-contact-center-speech-analysis
Speech Analysis Framework, a collection of components and code from Google Cloud that you can use to transcribe audio files to create analytics.
covid_tracker
This is a Texas-centric COVID Tracker that focuses on impacts felt across the state, both by those experiencing COVID-19 directly as patients or victims and those experiencing COVID-19 indirectly through economic hardship and other non-health impacts.
Sakila-DVD-Rental-database-Analysis
Analysis of the Sakila DVD Rental database using SQL
the-conversational-ai-pipeline
The search for the best Conversational AI pipeline
Prediction-of-customer-propensity-to-churn
The aim of this project is to build a predictive model that will help a telecom company in devising targeted strategies for retention of customers.
DVD-RENTAL
Analyzing a DVD rental store using SQL
compare-r-python
Comparing R and Python for my own personal use
telco-customer-churn-analysis-using-rstudio
This data has customer data and the objective is to predict churn
Telecom_Churn_Case_Study
Case study to do the churn analysis of the customers of a telecom company!