GitHub topics: random-forest-regression

Repositories

elmezianech/Food-Delivery-Time-Prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

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Adhelio/Kebayoran-Baru-Property-Price-Prediction-with-Random-Forest-Regressor

Second Year, or 4th Semester, project on creating a predictive machine learning model with Random Forest Regressor for property prices in Kebayoran Baru, South Jakarta.

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sairasmi/flight-price-prediction

The primary goal is to develop a predictive model that leverages historical data, machine learning algorithms, and real-time market trends to empower users with insights for informed decision-making in air travel planning.

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FarhanaTeli/Factors-Influencing-US-Home-Prices

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

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bhuvansun/iiitdmk-placements

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immanuvelprathap/Agriculture-Project

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dshah98/Machine_Learning_with_Python

Full machine learning practical with Python.

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dshah98/Machine_Learning_with_R

Full machine learning practical with R.

Language: R - Size: 444 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

Sarah-2510/Vehicle-Insurance-Claim-Prediction

A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.

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yhe-rs/hac-rf-shap

Determining Feature Importance by Integrating Random Forest and SHAP in Python

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Emeline2104/Predictive_energy_consumption

Projet 5 - OpenClassRooms - Data Science

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AkashSaxenaOfficial/Employee_Absenteeism

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

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princessnaya1234/ML-House-Prices-Prediction-Model

A trained ML model for prediction of house prices in IOWA using Random Forest Regression technique

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majd30/Flight-Ticket-Price-Prediction-Model

This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing

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pavankalyan1997/Machine-Learning-Using-Scikit-learn-and-other-libraries

Machine Learning algorithms implementation using Python

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arunabellgutteramesh/VideoMemorabilityPredictionUsingML

Some videos have more impact than the others resulting in higher memorability scores for such videos. Using various ML algorithms, such memorability scores are predicted.

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emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

emirhanai/Machine-Learning-Prediction-Software-Based-on-Classification-and-Regression-Based-on-Processor-CPU

Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications

Language: Python - Size: 322 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0

eaglewarrior/Machine-learning

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

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Ishan-Kotian/BIL_Project-Life_Expectancy_Prediction

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

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apurvayadav/auto-mpg-prediction

A ML Web App which predicts Miles Per Gallon(MPG) efficiency of a vehicle when provided 7 inputs like Weight, Displacement etc.

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yash1314/diamond_price_prediction

This repository contains machine learning model for predicting Diamond price prediction using random forest regressor

Language: Python - Size: 43.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KaziTanvir/Car-Price-Prediction

Based on existing data, the aim is to use machine learning algorithms to develop models for predicting used car prices.

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sayo2rule/bank-churning-with-machine-learning

This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).

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abhijha3011/Simple_Real_Estates_Price_Predictor

Simple_Real_Estates_Price_Predictor

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SanghyunKim1/Hitting-vs-Pitching-vs-Fielding-vs-Baserunning

Hitting vs Pitching vs Fielding vs Baserunning (Feature Importance)

Language: Python - Size: 2.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

shrutibalan4591/Store-Sale-Prediction

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

Language: Python - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ashishyadav2/ML-Mini-Project

Welcome to the "Car Price Prediction with Random Forest Regressor" repository! This project focuses on predicting the prices of cars using the power of machine learning and the Random Forest Regressor algorithm. If you're interested in the automotive industry, machine learning, or predictive modeling, this repository is a perfect starting point.

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samchak18/Capstone_Project_2_Retail_Sales_Prediction

AlmaBetter Capstone Project -Machine Learning Project type: Regression. Sales forecasting is an approach retailers use to anticipate future sales by analyzing past sales, identifying trends, and projecting data into the future.

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Afrid1045/Car_Price_Prediction

Predicting the Car prices based on its features and to help maintain transparency between car sellers and buyers. We can use the website to check the car price without third party interaction.

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sdixit5/Walmart-Weekly-Sales-Prediction

This project compares the different machine learning models on Walmart Weekly Sales Data and predicts the weekly sales for the test data.

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xPrithvi/Random-Forest-Regressor

This Jupyter notebook serves as a machine learning template to quickly make predictions and analyse feature importance in a dataset.

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kailash-turimella/Regression-Using-Python

Machine Learning Models using Python (Regression)

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treammm/DoG_SSIM

Matlab implementation of "Image quality assessment using human visual DOG model fused with random forest"

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Anindya-Das02/Comparison-of-ML-models-for-predicting-AQI

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

Language: Python - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 14

a-memme/revenue_prediction_imputation

Random forest regression + ARIMA timeseries modeling to impute metric values and forecast revenue for reporting purposes.

Language: SQL - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

devinawiyani/Car-Price-Prediction-Model

An entry for CWB Hackathon 2023 for Carsome problem statement 1 of a Car Price Prediction Model using Random Forest Regression

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Thorus-Slughorm/house_price_prediction

Welcome to my GitHub project dedicated to House Price Prediction using Python, EDA, and Machine Learning techniques. In this repository, I've explored the fascinating world of housing data to build robust predictive models that can estimate house prices with accuracy. By leveraging the power of Linear Regression and Random Forest, .

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rrambhia22/Regression-Predictive-Modeling-and-Analysis-of-Bitcoin-Hashrate

The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.

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ellow0rld/Car_Price_Detection_System

Car Price Detection System

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ShreyaPatil1199/Big_Mart_Sales_Prediction

Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.

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jjrodcast/Trabajo-Machine-Learning

Course work of Introduction to Machine Learning - PUCP - Diplomate of Artificial Intelligence - 2020

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Ola76/Dairy_Goods_Sales_Database

The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.

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dharmikbanka23/Insurance-Product-Purchase-Prediction

This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.

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Harish-or-Peter/Appliance-Energy-Prediction

Predicted residential energy consumption using Linear Regression, Random Forest, and XGBoost models. Random Forest showed best performance, offering insights into energy usage patterns. Code and results on GitHub for reference and optimization.

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GunturWibawa/SpotifyPopularityProbe

In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.

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Chandrakant817/Diamond-Price-Prediction

Diamond Price Prediction Using Machine Learning (Regression Use Case)

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Chandrakant817/Calories-Burned-Prediction

Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)

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divyeg/delivery_success_probability

Predict probability of successful delivery of a package within 48 hour of recipient contact

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RajKulk16/Boston-House-Price-Prediction

Flask Web Application

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ManishaRao06/House-Prices-ML-Model

I built a predictive model using advanced regression techniques to forecase future sale prices of homes in Ames, Iowa. The dataset is taken from Kaggle Competition: House Prices .

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Mikeyb53/Modeling-Property-Values-in-Cook-County-IL

U of Chicago Master-Track Final Project

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nipun-goyal/Residential-Energy-Consumption-Prediction

Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

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rahulg-101/Ads-Click-Through-Rate

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

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notakshatkhanna/APP

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muskan-setiya/solar-energy-efficiency

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ksdkamesh99/Flight-Price-Prediction

A Flask based Web Application that Predicts the Flight Price using RandomForestRegressor.Its GUI is based on Swagger API. This is hosted on the Heroku platform.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 0

Masihsoniya/House-price-prediction

Predicting house price

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atharva-hukkeri/Traffic-Prediction-using-Machine-Learning

The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.

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iqbal1526/Karachi-House-Price-Prediction

This repository contains files for analyzing and deployment of a machine learning model to predict real estate prices.

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bagalshreerang/Real-Estate-Price-Prediction

About The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

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iremustek/Predictive-Maintenance-Analysis

The project aims to enhance aircraft engine maintenance operations and planning using statistical learning and machine learning methods.

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MeshalAlamr/flight-price-prediction

Predicting flight ticket prices using a random forest regression model based on scraped data from Kayak. A Kayak scraper is also provided.

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iamkirankumaryadav/Predictive-Analytics

Predictive Analytics

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PriyankaSett/predicting_instagram_likes

The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.

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Vighnesh95/Earthquake-Prediction-using-Machine-Learning

Earthquake Prediction using Regression Models

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bonneraj/retail_sales_time_series

A repo containing a few exploratory notebooks for statistical (ARIMA) and supervised ML (random forest, KNN) approaches to time series analysis of monthly retail sales (sourced from St. Louis Fed). Notebooks also explore the use of MLFlow for experiment tracking, model registration, and deployment/inference.

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