Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset
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Updated
Sep 17, 2023 - Python
Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset
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
A set of custom python modules for friendly workflow on pandas
Python package for automated hyperparameter-optimization of common machine-learning algorithms
Bach Choral Set dataset for classification.
A computer system that can predict consumer demand for the fast food sector.
Classify the pores and backgrounds in fingerprint image
The Concrete Compressive Strength Prediction Web Application is a powerful tool that uses machine learning to estimate the compressive strength of concrete based on various input parameters.
MLOps – HSE MMLDS 23/24 [python service for training and inferring Catboost classification model on Iris dataset]
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
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The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.
🏆1st solution in web ad CTR predict competition🏆
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