Topic: "catboostregressor"
Mehrab-Kalantari/Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 52 - Forks: 7

viktorsapozhok/earthquake-prediction
Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
Language: Python - Size: 6.75 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 2

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.
Language: Jupyter Notebook - Size: 20 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 8 - Forks: 0

Mechres/Price-Predict
Crypto & Stock* price prediction with regression models.
Language: Python - Size: 768 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

lisette-espin/PovertyMaps
Interpreting wealth distribution via poverty map inference using multimodal data
Language: Jupyter Notebook - Size: 453 MB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 6 - Forks: 0

m4theus4ndr4de/regression-oil-production-prediction
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.
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Erdos1729/food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2

KalyanM45/House-Price-Prediction
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.
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dtheod/Interpretability-Methods-Regression
A python script for basic data cleaning/manipulation and modelling based on the open source House Sales Advanced Regression Techniques(Kaggle)
Language: Jupyter Notebook - Size: 559 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

PermanAtayev/Movie-revenue-prediction
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

bma114/corroded-steel-machine-learning
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.
Language: Python - Size: 93.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

issacchan26/TimeSeriesPatternForecasting
Time series forecasting on power consumption pattern with Catboost and regression model
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ggeop/Kaggle-Timeseries-Forecasting
😺 CatBoost Model Per Family
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Mushfiqur-Rahman-Robin/Coverage-Checker
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 locations of Bangladesh. Currently this model is based on a static dataset but in the future, I have a plan to upgrade it to a real-time data collection-based model.
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

Simran2911/Flight-Price-Pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
Language: Jupyter Notebook - Size: 920 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Sineme01/House-Rate-Predictor
House Rate Predictor
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Mehrab-Kalantari/Catboost-Damage-Prediction
Accident damage prediction using catboost regressor
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Me-HDi/Historical-consumption-regression-for-electricity-supply-pricing
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.
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nickarafyllis/ReconstructionUncertainty
Predictive Uncertainty in Gradient-Boosted Regression Trees : A Muon Energy Reconstruction Case Study
Language: Python - Size: 7.59 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Prasanth3620/Employee-Turnover-Prediction
This project aims to identify employees who are at risk of leaving the company by leveraging various machine learning algorithms.
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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.
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teibokchyne/Generative-AI-and-Optimisation-Framework-for-Sustainable-Concrete-Mix-Design
This repository contains all materials related to my Master's Thesis titled "Generative Artificial Intelligence and Optimisation Framework for Sustainable Concrete Mixture Design", including the thesis report, presentations, research papers, dataset, and associated code files used for experiments and analysis.
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rohankharche34/Predict_Calorie-Expenditure
Calorie expenditure prediction with basic EDA and data processing.
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Yahlawat/Spotify-Popularity-Prediction
ML project predicting Spotify song popularity using audio features, metadata, and gradient boosting models (XGBoost, LightGBM, CatBoost).
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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.
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amruta33/End_to_End_Mlproject
The Students Performance Analysis project, is an insightful exploration of the factors that impact students' academic performance. Using a dataset containing various student attributes, the project aims to uncover patterns and relationships that influence their success in examinations. This analysis is particularly valuable for educators, policymak
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BeheshteSadeghi/CovidVaccination_MLProject
The focus of this project is on Data Cleaning, Data Analysis, Data Extraction for story-telling, Gaining an insight from Pycaret Regression tool over best ML algorithms,and finally comparing 4 top models for selecting the best.
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taleblou/CatBoostRegressor-Price-Prediction
This repository implements the CatBoostRegressor model for predicting prices of financial instruments like stocks, currencies, and cryptocurrencies. It uses gradient boosting to capture patterns in price movements, improving the accuracy and robustness of price forecasts.
Language: Python - Size: 3.03 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Gruz2520/rec_system_2stepCatboost
2 step recomendation system with RangeCatBoost by Team Buns
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marielgyap/Spot-the-Hits
My capstone project for the Institute of Data investigates the metadata of songs on Spotify, building a predictive model to project a track's popularity on Spotify using its audio features.
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Chitranjan806/Predicting-On-Time-Premium-Deposits
A Predictive analysis project to predict the success rate of On-Time deposits of Premiums by Policy Holders.
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spoortimorabad/House-Price-Prediction-With-advanced-Regression-Techniques
house price prediction
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Harshit-Sinha-49/YouTube-view-prediction-model
YouTube View Count and Viewers Analysis Model
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Niru8449/SuccessSage
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
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dyavadi8769/Student_Performance_Indicator_ML_AWS_CI-CD_Pipelines
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.
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enescatagan/house-price-prediction
This project focuses on developing a Machine Learning model to predict housing prices in California.
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JeftaAdriel/MLC-DataSlayer1.0
Machine Learning Regression Problem: Predicting the CO2 Emission (g/km) given four wheel vehicle dataset
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JeftaAdriel/DataComp-PekanRistek23
Machine Learning Regression Problem: Predicting the Car Orders Price (IDR) given car orders dataset
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MihoRosenberg/Bangladesh-Flood-Guard
Predict precipitation to mitigate flood damage in Bangladesh
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Wamae/HousingSalesPrediction
Housing sale price prediction using linear regression, Ridge, KNN, Catboost and XGBoost
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Marguna23/PREDICTION-OF-ALCOHOL-LEVEL-BASED-ON-CHEMICAL-PROPERTIES-OF-THE-WHITE-WINE-REGRESSION-
CatBoost regressor for Predicting alcohol level based on chemical properties of the white wine
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Mehrab-Kalantari/Car-Price-Prediction
Car price dataset analysis and modeling using catboost regressor
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1391819/sales-forecasting
Sales prediction and data enrichment using Catboost and Upgini.
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slcnyagmurnew/delivery-pickup-analysis
Delivery Pickup Analysis and Duration Prediction for Deliveries on Redis Graph using OSRM and CatBoost Regressor
Language: Python - Size: 4.67 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

PratikDavidson/JOB-A-THON
JOB-A-THON - January 2023
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iamsj2022/Job-a-ThonNOVAV
Analytic Vidhya's Problem Statement to Predict or Forecast the Future Energy Demand For Next Three Years.
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Yoojin730/DataModeling_forRightofMobility
2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>
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hariprasath-v/Hackerearth_tredence-data-scientist-hiring-challenge
Machine Learning model to predict the weekly dispatch count of the warehouse.
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ArnelMalubay/Marvel-Predicting-Appearances
A simple data science project that involves web scraping, data cleaning and visualization, model building, and model explanation using character data from Marvel Fandom.
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HalukSumen/Telco_Churn_Prediction
Telecom Customer Churn Prediction with 9 Different Alghoritms
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hariprasath-v/Machinehack-dare_in_reality_hackathon
Build a machine learning model that predicts the Envision Racing drivers’ lap times.
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dashnak90/Bicycle-rentals-predictor
Regression model that predicts demand for bicycle rentals
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thebemer/Flightfare-prediction
A web app to predict fare for some indian flights. An end-to-end machine learning project.
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ndcharles/inter-track-webapp
API files for Stutern inter-track-webapp for rent prediction.
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