carterrees Goto Github PK

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

causica

cortana-intelligence-price-optimization-for-retail

Retail industry solutions for product price optimization using the Cortana Intelligence Suite with end-to-end walkthrough

deep-learning-in-time-series

Deep learning in time series analysis

docs

TensorFlow documentation

e2e-mlops

Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template

hacker

Hacker is a Jekyll theme for GitHub Pages

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mofc-demand-forecast

Time Series Forecasting for the M5 Competition

personal

Contains Jupyter Notebooks of stuff I am working on.

pricing-optimization-model

Optimize revenues through pricing algorithm in python - Demand with uniform distribution

research_in_python

This repository includes all the data analyses I carry out for my general exams reading, Spring 2015

sagemaker-rapids

Run RAPIDS experiments at scale using Amazon SageMaker

sbgmodel

shapash

Shapash makes Machine Learning models transparent and understandable by everyone

shifted_beta_geometric_py

An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)

shiftedbetageometric

Survival Analysis with the Shifted Beta Geometric model

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

zillow-price-index-pred