dimitreOliveira / StoreItemDemandLinks
(117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
☆25Updated 6 years ago
Alternatives and similar repositories for StoreItemDemand
Users that are interested in StoreItemDemand are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Demand Forecasting Models for Kaggle competition☆84Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆53Updated 8 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 8 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 7 years ago
- Tips for Advanced Feature Engineering☆53Updated 4 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆23Updated 7 years ago
- Quick Implementation in python☆53Updated 5 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).☆23Updated 4 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 3 years ago
- supply demmand gap prediction for ride-hailing☆76Updated 7 years ago
- Model to accurately forecast inventory demand based on historical sales data.☆64Updated 9 years ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆25Updated 8 months ago
- ☆28Updated 7 years ago
- Machine learning and process automation☆138Updated 2 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆63Updated 4 years ago
- ☆26Updated 5 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- Building Decision Trees From Scratch In Python☆67Updated 3 weeks ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆38Updated 5 years ago
- Classifying time series using feature extraction☆85Updated 6 years ago
- This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…☆142Updated 6 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆20Updated 3 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago