This web application utilizes a CatBoost regression model trained on the US Used Cars Dataset to predict the price/fair market value (FMV) of a car given its features.
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Updated
Nov 2, 2022 - Python
This web application utilizes a CatBoost regression model trained on the US Used Cars Dataset to predict the price/fair market value (FMV) of a car given its features.
Legal case retrieval challenge. Solution based on similarity search and learning-to-rank methods
本项目是论文《CAT-RFE:点击欺诈的集成检测框架》的实验代码。
Python code for stacking models, includes extracting model probabilities and assessing misclassified cases
Solution for ranking system of Aviaclub offers (Top 5 LB)
The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.
Python package that predicts the appeal topic, topic group and the executor to process the appeal based on its contents
Bach Choral Set dataset for classification.
Deep learning tool to determine similarity of given two question
MLOps – HSE MMLDS 23/24 [python service for training and inferring Catboost classification model on Iris dataset]
Project for applied classical ML course at the Weizmann institute
300 features, CatBoost, NannyML to monitor concept drift, auto-retrain
Classification task on Heart Disease dataset.
Solution to Zalo AI Challenge 2019's Hit Song Prediction.
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