GitHub topics: catboostregressor
Mehrab-Kalantari/Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
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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.
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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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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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lisette-espin/PovertyMaps
Interpreting wealth distribution via poverty map inference using multimodal data
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Mehrab-Kalantari/Catboost-Damage-Prediction
Accident damage prediction using catboost regressor
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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: 19 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
spoortimorabad/House-Price-Prediction-With-advanced-Regression-Techniques
house price prediction
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Gruz2520/rec_system_2stepCatboost
2 step recomendation system with RangeCatBoost by Team Buns
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Erdos1729/food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
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only-suyashsharthi/Chicago-Cabs
Chicago Cabs is a web application that provides fare and travel time predictions for cab rides in Chicago. Built using Flask, the app allows users to enter pickup and dropoff locations and select a cab company and payment type to get estimates. It also features an interactive dashboard for visualizing trip data created on Tableau
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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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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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Harshit-Sinha-49/YouTube-view-prediction-model
YouTube View Count and Viewers Analysis Model
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Mechres/Price-Predict
Crypto & Stock* price prediction with regression models.
Language: Python - Size: 768 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 7 - 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.
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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: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1
Niru8449/SuccessSage
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
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nickarafyllis/ReconstructionUncertainty
Predictive Uncertainty in Gradient-Boosted Regression Trees : A Muon Energy Reconstruction Case Study
Language: Python - Size: 7.56 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2
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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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.
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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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enescatagan/house-price-prediction
This project focuses on developing a Machine Learning model to predict housing prices in California.
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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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Wamae/HousingSalesPrediction
Housing sale price prediction using linear regression, Ridge, KNN, Catboost and XGBoost
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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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JeftaAdriel/MLC-DataSlayer1.0
Machine Learning Regression Problem: Predicting the CO2 Emission (g/km) given four wheel vehicle dataset
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MihoRosenberg/Bangladesh-Flood-Guard
Predict precipitation to mitigate flood damage in Bangladesh
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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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PratikDavidson/JOB-A-THON
JOB-A-THON - January 2023
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issacchan26/TimeSeriesPatternForecasting
Time series forecasting on power consumption pattern with Catboost and regression model
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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: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Sineme01/House-Rate-Predictor
House Rate Predictor
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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: almost 2 years ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 2
ggeop/Kaggle-Timeseries-Forecasting
😺 CatBoost Model Per Family
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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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PermanAtayev/Movie-revenue-prediction
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
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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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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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ndcharles/inter-track-webapp
API files for Stutern inter-track-webapp for rent prediction.
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