AsmirMumin / Retail-Coupon-Recommendation-for-Revenue-OptimizationLinks
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
☆11Updated 4 years ago
Alternatives and similar repositories for Retail-Coupon-Recommendation-for-Revenue-Optimization
Users that are interested in Retail-Coupon-Recommendation-for-Revenue-Optimization are comparing it to the libraries listed below
Sorting:
- Convert XGBoost's DMatrix format to np.array☆17Updated 3 years ago
- Machine learning algorithms applied into real modern robot, also the base package for visual SLAM project.☆11Updated 6 years ago
- About uplift modeling☆30Updated 8 years ago
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆12Updated 4 years ago
- In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achiev…☆11Updated 3 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 7 years ago
- Creating a hybrid recommender system using LightFM. Learn how to tackle the cold start problem.☆13Updated 3 years ago
- In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they nee…☆17Updated 4 years ago
- Used Python “keras” package to develop a unidirectional LSTM based deep learning model “encoder-decoder networks” for title generation on…☆17Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rat…☆14Updated 7 years ago
- ☆18Updated 2 years ago
- tutorial about recommendation system☆15Updated 5 years ago
- Code for KDD CUP 2019 Auto-ML track☆21Updated 6 years ago
- TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet☆48Updated 4 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- State of the Art Neural Networks for Deep Learning☆62Updated 3 years ago
- Using TensorRT and Triton Server to build BERT model as a service☆13Updated 3 years ago
- This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…☆53Updated 3 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 4 years ago
- This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…☆14Updated 9 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆36Updated 8 years ago
- Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching☆19Updated 6 years ago
- A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)☆31Updated 2 years ago
- This project is an implementation of music genre classification of audio signals based on machine learning techniques.☆12Updated 6 years ago
- This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without i…☆13Updated 3 years ago
- Reatail-hero X5 contest☆13Updated last year
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Multiclass LigthGBM classifier with costumized focal loss☆20Updated 3 years ago
- Introduction to Data Analysis: Path Classification Experiment. 本资源以选择最优路径为例详细介绍了如何解决一般的分类问题，包括原始数据的探索、模型的构建、模型调优和 模型预测分析。包含前馈神经网络（Keras）、机…☆13Updated 6 years ago