There are 0 repository under catboost-regressor topic.
Dynamically adjust cost of the rides in response to changing factors
Detecting brain age based on MRI scans data.
Math Score Predictor
Predicción del precio de venta de las viviendas en venta y de las viviendas en alquiler de Barcelona.
Code for kaggle single cell competition (got bronze medal)
A light-weight Kaggle challenge to predict crabs' age
Predicting house prices using advanced regression algorithms
This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.
Accident damage prediction using catboost regressor
This project aims to predict flight arrival delays using various machine learning algorithms. It involves EDA, feature engineering, and model tuning with XGBoost, LightGBM, CatBoost, SVM, Lasso, Ridge, Decision Tree, and Random Forest Regressors. The goal is to identify the best model for accurate predictions.