GitHub topics: catboost-regressor

Repositories

IngridASilva/ias-sty_final-project

Development of a project for the thesis “AI in the reduction of cognitive biases (Anchoring Bias) in Brazilian consumption", with the support of Python and Machine Learning.

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

msikorski93/Abalone-Dataset

Estimating abalone rings (age) based on their physical characteristics, such as gender, length, height, diameter, weight, etc.

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Thiraput01/CIBMTR-Equity-in-post-HCT-Survival-Predictions

Notebooks for Kaggle competition

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Mehrab-Kalantari/Catboost-Damage-Prediction

Accident damage prediction using catboost regressor

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nlawira/india-house-rent-prediction

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.

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kaylaipp/Linking-Writing-Processes-to-Writing-Quality

Linking Writing Processes to Writing Quality

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roissyahf/Dynamic-Pricing-Ride-Fares-App

Dynamically adjust cost of the rides in response to changing factors

Language: Python - Size: 266 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

samidulloabdullaev/Flights_Arrival_Delay_regression-

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.

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yyigitturan/Baseball-Players-Salary-Prediction

This project develops a machine learning model to predict the salaries of baseball players based on their past performance.

Language: Python - Size: 803 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dyavadi8769/Student_Performance_Indicator_AWS_CI-CD

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.

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0