Easy Custom Losses for Tree Boosters using Pytorch
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Feb 28, 2021 - Python
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lgbm
Here are 18 public repositories matching this topic...
No-Caffeine-No-Gain's Deep Knowledge Tracing (DKT)
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Jul 29, 2021 - Python
Crypto & Stock* price prediction with regression models.
ai neural-network bitcoin lstm xgboost lstm-model lightgbm prophet lstm-neural-networks price-prediction xgboost-regression lgbm lightgbm-regressor catboostregressor
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Jul 26, 2024 - Python
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
dart scikit-learn sklearn lightgbm hacktoberfest sklearn-compatible tqdm early-stopping lgbm lightgbm-dart
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Feb 5, 2025 - Python
LGBM and logistic regression for prediction of customers' second time transaction for an online market app.
encoding eda feature-selection feature-extraction logistic-regression feature-engineering target-detection datapreprocessing lgbm
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Oct 3, 2021 - Python
A project that demonstrates the use of the lgbm C++ API to perform inference without any python dependencies.
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Sep 28, 2020 - Python
Music Genre Recommender website that can identify and recommend 10 different genres of music using Light Gradient Boosting Machine (LGBM). An accuracy of 90% was achieved on the test set by tuning the hyperparameters of the model with Optuna.
audio music flask scikit-learn classification machinelearning librosa hyperparameter-tuning classification-model lgbm optuna lgbmclassifier audio-machine-learning
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Dec 10, 2022 - Python
Find LGBM Hyperparams and train the model
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Jul 19, 2019 - Python
Microsoft Malware Prediction Challenge. 8th position solution.
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May 22, 2019 - Python
Repository for the "Google Analytics Customer Revenue Prediction" Kaggle competition.
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Jun 14, 2019 - Python
Project for applied classical ML course at the Weizmann institute
random-forest scikit-learn ml datascience gan xgboost classification diabetes catboost lgbm imbalanced-classification smote-sampling ctgan imblearn-metrics
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May 12, 2024 - Python
Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
python kernel linear-regression pandas feature-selection kaggle-competition xgboost auc feature-engineering ridge-regression regression-models lasso-regression f1-score random-forest-regressor pubg regression-analysis group-by gradient-boosting-regressor lgbm
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Jan 25, 2019 - Python
This repository contains the code to build a prediction engine for London housing prices
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Mar 3, 2023 - Python
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Jun 11, 2021 - Python
In this project I used basic classification algorithms including random forest, xgboost and decision tree to reach the best solution, finding out how many survived in the titanic accident. I use Kaggles free GPUs and Datasets in this project. I used different feature engineering techniques to clean my data
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Nov 3, 2020 - Python
Predict the quality of wikipedia articles using AI
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Aug 20, 2023 - Python
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