Vettejeep / MSDS696-Masters-Final-ProjectLinks
Earthquake Prediction Challenge with LightGBM and XGBoost
☆70Updated 6 years ago
Alternatives and similar repositories for MSDS696-Masters-Final-Project
Users that are interested in MSDS696-Masters-Final-Project are comparing it to the libraries listed below
Sorting:
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- 2nd Place Solution 💰🥈☆225Updated 7 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆154Updated 7 years ago
- Stacked Generalization (Ensemble Learning)☆228Updated 7 years ago
- Kaggle 8th place solution☆107Updated 2 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆260Updated 7 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 7 years ago
- ☆54Updated 6 years ago
- ☆43Updated 6 years ago
- The repository provides usefull python scripts for ML and data analysis☆178Updated last year
- Comparison of XGBoost, LightGBM and CatBoost on MNIST classification problem☆40Updated 8 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- 10th solution☆21Updated 6 years ago
- This repository contains the winning solution (2nd place) of the Macrosoft Maleware Prediction Challenge on Kaggle.☆32Updated 6 years ago
- Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.☆213Updated 3 years ago
- Address imbalance classes in machine learning projects.☆65Updated 7 years ago
- ☆34Updated 6 years ago
- ☆170Updated 5 years ago
- Kaggle home credit default risk competition☆60Updated 7 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆50Updated 6 years ago
- Kaggle Competition notebooks☆34Updated 6 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆332Updated last year
- This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.☆188Updated 7 years ago
- 7th-place solution code for https://www.kaggle.com/c/aptos2019-blindness-detection/overview.☆69Updated last year
- Feature Engineering Made Easy, published by Packt☆216Updated 2 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 6 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 6 years ago
- Kaggle | 14th place solution for TGS Salt Identification Challenge☆76Updated 5 years ago
- ☆207Updated 6 years ago