arnaudvl / ml-parameter-optimization
Hyperparameter optimization for machine learning algorithms.
☆26Updated 6 years ago
Alternatives and similar repositories for ml-parameter-optimization:
Users that are interested in ml-parameter-optimization are comparing it to the libraries listed below
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated last year
- ☆51Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆26Updated 5 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 6 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆47Updated 3 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 8 months ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆22Updated 6 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- A python multi-variate time series prediction library working with sklearn☆93Updated 4 years ago
- ☆20Updated 4 years ago
- Entropy based binning of discrete variables.☆34Updated 5 years ago
- Code files for my medium blog