AsmirMumin / Retail-Coupon-Recommendation-for-Revenue-Optimization
This Machine Learning project deals with Coupon Recommendations based on Revenue Uplift
☆9Updated 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:
- A machine learning based project.☆7Updated 4 years ago
- It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insuran…☆13Updated 5 years ago
- Disease prediction using Machine Learning. This is a classification problem. The objective of this project was to classify the disease ba…☆9Updated 4 years ago
- In this project we try to predict future price from historical prices with data mining and time series analysis methods. Then based on th…☆8Updated 7 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Creating a hybrid recommender system using LightFM. Learn how to tackle the cold start problem.☆13Updated 3 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆41Updated 4 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 3 years ago
- This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based ap…☆14Updated 6 years ago
- Please visit https://github.com/Azure/RNNForTimeSeriesForecasting for latest version.☆18Updated 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 2 years ago
- Library managment system in Java /MySQL☆11Updated 6 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- Hands-On Ensemble Learning with Python, published by packt publishing☆55Updated 2 years ago
- Forecasting Time-Series Data with Facebook Prophet, published by Packt☆104Updated 2 years ago
- 5 Projects based on Unsupervised learning☆8Updated 4 years ago
- pyspark dataframe made easy☆16Updated 3 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 3 years ago
- ☆25Updated 4 years ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆19Updated 8 years ago
- [kaggle] M5 Forecasting - Accuracy (4th place solution)☆36Updated 4 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆99Updated 3 months ago
- Perform multivariate time series forecasting using LSTM networks and DeepLIFT for interpretation☆89Updated 3 years ago
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆11Updated 3 years ago
- ☆20Updated 5 years ago
- ☆8Updated last month
- Production Fixed Horizon Planning with Python☆29Updated 3 months ago
- Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 ai…☆44Updated 3 years ago
- I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The A…☆60Updated 5 years ago