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algorithmic-marketing-examples

Optimization models for enterprise use cases

alsrecommendation

Implicit feedback recommendation based on SPARK ALS Library

clussificate

Config files for my GitHub profile.

dataanalysis

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

echelon_inventory

Transformations and heuristics to calculate echelon base stock levels for distribution systems.

exam

fastfm

fastFM: A Library for Factorization Machines

jpic

add backorder env

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

multirooming

init commit

multiroomingextensions

init

om-researches-analysis

Trends of OM research from 1997 to 2018

probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

python_web_scraping

pythoncases

Some cases include data analysis, data mining using python and R

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

r-cases

recommendation-engine-hackathon

This repository contains solution for the Recommendation Design Hackathon hosted by Analytics Vidhya. I created a ALS based implicit feedback model for recommending three new problems to a user on a coding challenge website.

recommender-system

Some algorithms about traditional and social recommendation.

recq

RecQ: A Python Framework for Recommender Systems (TensorFlow Supported)

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

sndhlp

A branch-and-price-and-cut algorithm for service network design and hub location problem

spark-gbtlr

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

sparkalsimplicit

Spark ALS implicit & multi-tasking with Futures

strategic_safety_inventory

Approximations and heuristics for strategic safety stock positioning.