Pinned Repositories
AB_Testing_Pricing_Test
A A/B Testing Challenge on Software Pricing
algrithm
algrithm on python
Building-a-search-engine-using-Elasticsearch
A simple tutorial on how to build a best tutorial finder search engine using Elasticsearch
candilib
clipper-tutorials
cust2vec
Creates customer embeddings from product purchases
DATASOURCE
prom2click
Prometheus remote storage adaptor for Clickhouse
rnd-reco-gym
RL recommendation R&D based on RecoGym
mindis's Repositories
mindis/AB_Testing_Pricing_Test
A A/B Testing Challenge on Software Pricing
mindis/demand-prediction-guide2
2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in Supply Chain Management, 14)
mindis/R_Forecast_in_Python
mindis/advanced-forecasting-python
Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
mindis/amazon_dynamic_pricing
mindis/bayesian_hierarchical_models
mindis/BDA21
mindis/Biobjective_RecSys
mindis/BlueYonder
Blue Yonder coding task
mindis/byoc-sagemaker-lightfm
This repository illustrates how you could bring your own LightFM container inside of SageMaker.
mindis/CausalModel
mindis/Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project
mindis/cyclic-boosting-paper
tex and code for Cyclic Boosting paper (https://doi.org/10.1109/ICMLA.2019.00067 and https://arxiv.org/abs/2002.03425)
mindis/deep-ar
Intermittent time series analysis
mindis/DeepIV
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
mindis/DMBGN
The implementation of the submitted paper "Deep Multi-Behaviors Graph Network for Voucher Redemption Rate Prediction" in SIGKDD 2021 Applied Data Science Track.
mindis/DynamicProgramming
This is the repository for saving the assignments from Dyn. Prog. & Rei. Lern.
mindis/feature-context-effects
Code accompanying our KDD 2021 paper on discovering interpretable context effects from choice data.
mindis/gluonts-hierarchical-ICML-2021
mindis/hierarchical-shrinkage
Smith and Griffin (2020) Shrinkage Priors for High-Dimensional Demand Estimation
mindis/lifeCycleR
Forecasting tools for developing life cycle models
mindis/M5_Accuracy_3rd
3rd ranked model in M5 accuracy competition
mindis/ML21
mindis/neural_prophet
NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
mindis/pyhts
A python package for hierarchical forecasting, inspired by hts package in R.
mindis/reco-base
Recommender System Resources
mindis/Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
mindis/retail-personalization-workshop
In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.
mindis/South_Australia_Transport_Econ
Analyze transport-economy relationship in SA
mindis/tech-talk-hierarchical-models