btrotta / kaggle-m5
Top 3% solution for Kaggle M5 Accuracy competition
☆23Updated 4 years ago
Alternatives and similar repositories for kaggle-m5:
Users that are interested in kaggle-m5 are comparing it to the libraries listed below
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆31Updated 2 years ago
- Developmental tools to detect data drift☆14Updated 11 months ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated last year
- Random stuff I've been working on☆28Updated last year
- Learn Pyro through the M5 forecasting competition☆84Updated 4 years ago
- Optuna + LightGBM = OptGBM☆35Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- ☆51Updated 6 years ago
- My second place solution in the M5 Accuracy competition☆68Updated 4 years ago
- [kaggle] M5 Forecasting - Accuracy (4th place solution)☆37Updated 4 years ago
- M5 Uncertainty kaggle competition, 3rd place solution☆38Updated 11 months ago
- TabNet for fastai☆123Updated 11 months ago
- Framework for typical Kaggle ensembling☆9Updated 5 years ago
- Time series forecasting with tree ensembles☆13Updated 3 years ago
- Probabilistic Gradient Boosting Machines☆145Updated last year
- A tiny framework to perform adversarial validation of your training and test data.☆20Updated last month
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 4 months ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Using Kafka-Python to illustrate a ML production pipeline☆110Updated 2 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆32Updated 3 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- CBM Encoding☆19Updated 3 years ago
- Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.☆22Updated 4 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 5 months ago