Pinned Repositories
Airbnb-Dynamic-Pricing-Optimization
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
Airbnb-Pricing-Optimization
This project aims to develop a smart pricing tool for the hosts of Airbnb, in order to maximize profit. Application-specific feature engineering and a "Meta holdout scheme with OOF meta-features" architecture took place in the pricing ML pipeline
AirBnbPricePrediction
Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC
AirbnbProject
amazon-sagemaker-bert-classify-pytorch
This sample show you how to train BERT on Amazon Sagemaker using Spot instances
bdown
Blackburnblog
blog_posts
carterrees.github.io
carterrees_blog
carterrees's Repositories
carterrees/Airbnb-Dynamic-Pricing-Optimization
[BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis, kNN regression for demand forecasting, and find dynamic optimal price with Optimization model.
carterrees/Airbnb-Pricing-Optimization
This project aims to develop a smart pricing tool for the hosts of Airbnb, in order to maximize profit. Application-specific feature engineering and a "Meta holdout scheme with OOF meta-features" architecture took place in the pricing ML pipeline
carterrees/AirBnbPricePrediction
Training and Testing a Set of Machine Learning/Deep Learning Models to Predict Airbnb Prices for NYC
carterrees/AirbnbProject
carterrees/amazon-sagemaker-bert-classify-pytorch
This sample show you how to train BERT on Amazon Sagemaker using Spot instances
carterrees/bdown
carterrees/Blackburnblog
carterrees/blog_posts
carterrees/carterrees.github.io
carterrees/carterrees_blog
carterrees/causica
carterrees/cortana-intelligence-price-optimization-for-retail
Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough
carterrees/Deep-Learning-in-Time-Series
Deep learning in time series analysis
carterrees/docs
TensorFlow documentation
carterrees/e2e-mlops
Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
carterrees/hacker
Hacker is a Jekyll theme for GitHub Pages
carterrees/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
carterrees/mofc-demand-forecast
Time Series Forecasting for the M5 Competition
carterrees/personal
Contains Jupyter Notebooks of stuff I am working on.
carterrees/Pricing-optimization-Model
Optimize revenues through pricing algorithm in python - Demand with uniform distribution
carterrees/research_in_python
This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
carterrees/sagemaker-rapids
Run RAPIDS experiments at scale using Amazon SageMaker
carterrees/sBGmodel
carterrees/shapash
Shapash makes Machine Learning models transparent and understandable by everyone
carterrees/shifted_beta_geometric_py
An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)
carterrees/ShiftedBetaGeometric
Survival Analysis with the Shifted Beta Geometric model
carterrees/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
carterrees/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
carterrees/workshop
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
carterrees/zillow-price-index-pred