LevinJ / Supply-demand-forecastingLinks
supply demmand gap prediction for ride-hailing
☆76Updated 7 years ago
Alternatives and similar repositories for Supply-demand-forecasting
Users that are interested in Supply-demand-forecasting are comparing it to the libraries listed below
Sorting:
- Demand Forecasting Models for Kaggle competition☆83Updated 6 years ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- [BA project] Dynamic Pricing Optimization for Airbnb listing to optimize yearly profit for host. Use Clustering for competitive analysis,…☆222Updated 6 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 7 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆86Updated 6 years ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆25Updated 7 months ago
- Multivariate time series prediction using LSTM in keras☆33Updated 7 years ago
- Time series forecasting☆79Updated 6 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h no…☆60Updated 7 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆104Updated 5 years ago
- Bandit algorithms for dynamic pricing of many products☆42Updated 5 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆38Updated 5 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 1…☆30Updated 7 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 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
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆34Updated 7 years ago
- Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…☆168Updated 6 years ago
- Dynamic pricing for selling perishable goods☆64Updated 7 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Winners of the Power Laws forecasting competition☆64Updated last year
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 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
- An LSTM Autoencoder for rare event classification☆105Updated 5 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 3 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago