A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
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Updated
Sep 1, 2024 - Python
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Crypto & Stock* price prediction with regression models.
Project for applied classical ML course at the Weizmann institute
Predict the quality of wikipedia articles using AI
This repository contains the code to build a prediction engine for London housing prices
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.
LGBM and logistic regression for prediction of customers' second time transaction for an online market app.
No-Caffeine-No-Gain's Deep Knowledge Tracing (DKT)
Easy Custom Losses for Tree Boosters using Pytorch
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
A project that demonstrates the use of the lgbm C++ API to perform inference without any python dependencies.
Find LGBM Hyperparams and train the model
Repository for the "Google Analytics Customer Revenue Prediction" Kaggle competition.
Microsoft Malware Prediction Challenge. 8th position solution.
Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
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