catboostregressor

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.

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

UpdatedJan 16, 2025
Jupyter Notebook

Erdos1729 /food-demand-forecasting

Star8

This repository will work around solving the problem of food demand forecasting using machine learning.

machine-learning jupyter-notebook demand-forecasting xgboost-regression forecasting-model decisiontreeregressor lightgbm-regressor catboostregressor food-demand-forecasting

UpdatedSep 26, 2020
Jupyter Notebook

m4theus4ndr4de /regression-oil-production-prediction

Star8

Production prediction is one of the core problems in a company. The provided dataset is a set of nearby wells located in the United States and their 12 months cumulative production. The company data scientist needs to build a model from scratch to predict production.

data-science machine-learning regression petroleum catboost oil-and-gas catboostregressor

UpdatedNov 23, 2022
Jupyter Notebook

lisette-espin /PovertyMaps

Star6

Interpreting wealth distribution via poverty map inference using multimodal data

infrastructure machine-learning deep-learning mean satellite-imagery demographics mobility cnn-model online-data open-street-map poverty-estimates interpretable-ai explainable-ai antennas catboost-model stddev catboostregressor crowdsourced-data

UpdatedJan 7, 2025
Jupyter Notebook

PermanAtayev /Movie-revenue-prediction

Star4

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

random-forest linear-regression xgboost artificial-neural-networks polynomial-regression elasticnet support-vector-regression ridgeregression catboostregressor movie-revenue-prediction light-gradient-boosting-machine

UpdatedDec 2, 2020
Jupyter Notebook

dtheod /Interpretability-Methods-Regression

Star3

A python script for basic data cleaning/manipulation and modelling based on the open source House Sales Advanced Regression Techniques(Kaggle)

visualization python machine-learning colab colab-notebook model-interpretability catboost-model catboostregressor

UpdatedOct 25, 2021
Jupyter Notebook

KalyanM45 /House-Price-Prediction

Sponsor

Star3

To develop a machine learning model that accurately predicts housing prices using the Boston Housing dataset by analyzing various house features, and it utilizes a CatBoost model to assist potential buyers or sellers in estimating housing prices.

machine-learning machine-learning-algorithms regression supervised-learning house-price-prediction catboostregressor

UpdatedMay 15, 2023
Jupyter Notebook

Mushfiqur-Rahman-Robin /Coverage-Checker

Star2

This application is based on a CatBoost machine learning model. This basically takes four queries from the user (Upazila/Thana name, Network availability (3G/4G), District, and Zip code) and outputs the best operator for that location. This model was trained on the data I collected from Opensingnal application. I collected 22,360 data for 559 lo…

machine-learning network-analysis catboost catboostregressor

UpdatedSep 17, 2021
Jupyter Notebook

issacchan26 /TimeSeriesPatternForecasting

Star2

Time series forecasting on power consumption pattern with Catboost and regression model

time-series data-visualization forecasting data-analysis power-consumption time-series-analysis catboost time-series-forecasting catboostregressor

UpdatedOct 3, 2023
Jupyter Notebook

bma114 /corroded-steel-machine-learning

Star2

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

machine-learning random-forest artificial-neural-networks regression-models steel anfis structural-engineering generalized-additive-models support-vector-regression gaussian-process-regression gradient-boosting-regressor corrosion reinforced-concrete catboostregressor

UpdatedJun 28, 2024
Python

ggeop /Kaggle-Timeseries-Forecasting

Star1

😺 CatBoost Model Per Family

python machine-learning sklearn machine-learning-algorithms kaggle-competition gradient-boosting time-series-analysis catboost time-series-forecasting catboostregressor store-sales-forecasting

UpdatedDec 1, 2022
Jupyter Notebook

NdAbdulsalaam /Faulty_Air_Quality_Sensor_Challenge

Star1

Developed a multi-class classification model to identify and classify faults according to specified categories. The model can be used to flag a device returning faulty data automatically.

python challenge machine-learning classification-algorithm random-forest-classifier sensors-data-collection hackaton-project catboostregressor

UpdatedSep 12, 2022
Jupyter Notebook

angelicavelez /prediction_price_vehicle

Star1

Prediction of the sale price of a vehicle using predictive models using gradient boosting

linear-regression matplotlib gridsearchcv xgboost-regression standardscaler one-hot-encoding lgbmregressor randomforestregressor catboostregressor

UpdatedMay 10, 2023
Jupyter Notebook

Me-HDi /Historical-consumption-regression-for-electricity-supply-pricing

Star1

The goal of the challenge is to predict, based on the analysis of the correlation of a year of consumption and weather training data, the electricity consumption of two given sites for a test year.

xgboost-regression catboostregressor