https://github.com/thiraput01/cibmtr-equity-in-post-hct-survival-predictions

Notebooks for Kaggle competition

catboost-regressor custom-metrics data-cleaning data-processing data-science k-fold-cross-validation lightgbm-regressor machine-learning optuna regression-models xgboost-regressor

Last synced: 09 Apr 2025

https://github.com/brendanbignell/ml_kaggle_titanic

Test using LightGBM and FastTree models with GPU acceleration in C#/.NET via ML.NET.

lightgbm-regressor ml titanic-kaggle

Last synced: 07 Apr 2025

https://github.com/tanishq-ctrl/house-price-prediction-and-visualization

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

catboost catboost-classifier catboostregressor dataanlaytics datavisualization-project housepriceprediction lightgbm lightgbm-classifier lightgbm-regressor machinelearningalgorithms r2score rmse-score xgboost xgboost-algorithm xgboost-classifier

Last synced: 22 Mar 2025

https://github.com/serhatderya/house-prices---advanced-regression-techniques

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

ai artificial-intelligence data-science ju jupyter-notebook lightgbm lightgbm-regressor machine-learning machinelearning prediction python random-forest random-forest-regression regression scikit-learn xgboost xgboost-regression

Last synced: 22 Feb 2025

https://github.com/otuemre/housepricingml

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

eda encoding evaluation-metrics kaggle-competition lightgbm-regressor machine-learning matplotlib-pyplot neural-networks numpy pandas preprocessing python ridge-regression scikit-learn seaborn tensorflow xgboost-regression

Last synced: 24 Mar 2025

https://github.com/aranzadata/carpricepredictor

Se desarrolló un modelo de predicción de precios de autos con una precisión de 0,84 y un tiempo de predicción de 1 segundo,

decision-trees gradient-boosting hyperparameter-tuning lightgbm-regressor linear-regression random-forest seaborn sklearn-metrics

Last synced: 28 Feb 2025

https://github.com/yuhexiong/house-prices-xgbregressor-lightgbmregressor-python

lightgbm lightgbm-regressor machine-learning python xgboost xgboost-regression

Last synced: 24 Mar 2025

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 Apr 2025

https://github.com/hariprasath-v/av-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

exploratory-data-analysis kaggle lightgbm-regressor matplotlib numpy pandas python rmse-score seaborn sklearn statsmodels timeseries-forecasting

Last synced: 02 Mar 2025

https://github.com/prajakta1321/streetml-a-cityscape-traffic-volume-prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

catboostregressor data datavisualisation exploratory-data-analysis lightgbm-regressor linearregression machine-learning machine-learning-algorithms predictive-analytics random-forest-regression xgboost-regression

Last synced: 08 Apr 2025