Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
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Updated
Jan 25, 2019 - Python
Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
Microsoft Malware Prediction Challenge. 8th position solution.
Repository for the "Google Analytics Customer Revenue Prediction" Kaggle competition.
Find LGBM Hyperparams and train the model
A project that demonstrates the use of the lgbm C++ API to perform inference without any python dependencies.
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
Easy Custom Losses for Tree Boosters using Pytorch
No-Caffeine-No-Gain's Deep Knowledge Tracing (DKT)
LGBM and logistic regression for prediction of customers' second time transaction for an online market app.
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.
This repository contains the code to build a prediction engine for London housing prices
Predict the quality of wikipedia articles using AI
Project for applied classical ML course at the Weizmann institute
Crypto & Stock* price prediction with regression models.
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
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