randomforestregressor | Topic | Ecosyste.ms: Repos

Topic: "randomforestregressor"

ThinamXx/CaliforniaHousing__Prices

I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

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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: over 3 years ago - Stars: 9 - Forks: 1

sagprr/Optimizing_Merchant_Vessels

Reducing the cost & increasing efficiency of Merchant Ships

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MHassaanButt/Antenna-design-using-ML

In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

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DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

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mdaiyub/Diabetes-Prediction

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

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Vikhram-S/Mental-Stress-Manager-Chatbot-ZDataKnights-07

This Project is the Part of IBM Z Datathon 2024

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shivasaib/UsedCarPricePrediction

A model for predicting the selling price of a used car using machine learning algorithms. This model is deployed in the Heroku Cloud Platform.

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SandeshGhi/Real-Estate-Housing-Price-Predictor

RandomForest Regressor Model ML for predicting Price of House.

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sahilmate/e-commerce-competitor-analysis

A comprehensive tool that leverages LLM-driven recommendations to empower e-commerce businesses with actionable competitive intelligence in real time

Language: Python - Size: 2.21 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

KKeshav1101/Priority_Encoder

A fullstack application mimicking a To-Do App but optimising it to improve productivity by predicting the relative importance of each task.

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AgarwalKritik/Airline-Fare-Prediction

Airline Fare Prediction using Regression

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ManjinderSingh3/Used-Cars-Price-Evaluation-Model

Developed a price prediction model using Random Forest Regression algorithm. Different graphs were created as a part of Exploratory Data Analysis. Feature Engineering was performed to make the data ready for building the model.Built an interactive dashboard using dash and plotly libraries

Language: Python - Size: 9.08 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

ahmedshahriar/Housing-Price-Prediction

Data science project on Housing Prices Dataset regression analysis

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VivanVatsa/carmaprycepred_machinelearning_project

Car Price Prediction: Machine Learning (Data Science) Project using CarDekho.com dataset predicting prices of cars

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rkbeatss/Prepr-ML-Challenge

Prepr's Machine Learning Challenge

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farshad257/Regrassion_Income_Forcasting

A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.

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musfiquejim/EnACP-A-Hybrid-Machine-Learning-Framework-for-Detecting-Anticancer-Peptides

EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।

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Ehtisham33/Car-Price-Prediction

This repository contains the code and resources for a machine learning project aimed at predicting car prices based on various features. The project utilizes both Linear Regression and Random Forest Regression models to achieve accurate predictions.

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NVombat/Predictive-Modelling-of-Wildfires

A web application to predict the occurrence and confidence of wildfires using machine learning

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ayazkhan27/anonymity

This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.

Language: R - Size: 18.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

m-rishab/Housing-price-Prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

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samagra44/Electricity-Price-Prediction-Using-Machine-Learning-

Electricity Price Prediction Using Machine Learning.

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arthurpolskih/DS-university-enrollment

Data Science Project that awarded me with a certificate of Data Scientist Associate.

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matthieuvion/spark-cluster

Steps to deploy a local spark cluster w/ Docker. Bonus: a ready-to-use notebook for model prediction on Pyspark using spark.ml Pipeline() on a well known dataset

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BamboTims/Bulldozer-Price-Regression-ML-Model

A Regression model that predicts the price of bulldozers based on their features.

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AlaaMahmoud95/Concrete-Compressive-Strength

Regression Machine Learning Project

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anishjohnson/NYC_Taxi_Trip_Time_Prediction

In this project we will predict the time taken by NYC taxis to complete their trips using regression.

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rainaa0277/Taxi-Fare-Prediction-using-Random-Forest

This case study is to predict the taxi fare for a taxi ride in New York City from a given pickup point to the agreed dropoff location. Decision tree and Random Forest regressor is used for the fare prediction.

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whitneyshine/austin_project

This repository contains my final project for UT Austin's Data Analytics Bootcamp. My teammates and I explored a Wine Reviews dataset and built an interactive Tableau dashboard to recommend wines for a novice based on price, rating, variety, and country. We also built a machine learning model to train it to rate wine like an experienced sommelier.

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iamkirankumaryadav/Evaluation

Evaluation of the Models (Regression and Classification)

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suhas-kadu/HTNE-getRichWthDiamonds

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ashishsahu1/carChoice

🚘 Car-Choice 🚔 is a used car price prediction web app.

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MarkVoitov/usd_rates_prediction

Построение различных моделей линейной регрессии для предсказания курса доллара

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dixitamol/ML_code_templates_Py

Code templates for data prep and different ML algorithms in Python.

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Ravjot03/Facebook-dataset

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sfansaria/Instagram-Reach-Analysis

Analyzing Instagram Reach

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Shayan1408/Machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

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Shriyaak/RegressionModels

In this repository, I have explored various regression algorithms.

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aiaaee/Gold-Price-Prediction

Prediction Of Gold Rates Using ML Techniques

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jonathanaguirre/Abalone-Ring-Prediction

Predict rings of White Abalone via length, diameter, and height.

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Urvee1810/Bitcoin-price-forecasting-using-ARMA

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

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jigyasaG18/Gold-Price-Prediction-Project-using-Machine-Learning

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

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Singhananddev/ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

ML_SUPERVISED_LEARNING_SALES_PRIDICTION_PROJECT

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GaneshAhire30/Big_Mart_Sales_Prediction-Project

Big Mart Sales Prediction is a machine learning project that predicts product sales across multiple stores using features like item price, weight, and store type. The model uses regression techniques to help optimize inventory and sales strategies.

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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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akibahmed229/WeatherForecasting

Realtime Weather Forecasting using Machine Learning

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Mahimitra/SDM_FinalProject_GarmentEmployee-Productivity

Regression techniques

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tsar123/Coffee-Quality-Analysis

machine learning using RandomForestRegressor and dataset with coffee data

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AliHaider5577/BikeSharing_Regression_MachineLearning

Bike Sharing (Rentals) machine learning regression to predict total rentals by considering features of dataset

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harmanveer-2546/Predicting-Schizophrenia-Disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

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harmanveer-2546/Finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

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anlbora/Predictive-Analysis-on-Hitters-Dataset

This project analyzes the 1987 baseball player statistics to predict salaries using machine learning. It includes data preprocessing, exploratory analysis, and model development with Random Forest regression.

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saeidEmadi/scrapeForMankan

This is a student project for a data mining course and is a simple exercise

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Niru8449/SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

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InigoMartinezCiriza/Codigo_TFG

En este repositorio se almacenan los diferentes cuadernos utilizados a la hora de programar los algoritmos de ML utilizados para el estudio y realización del TFG

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souravmalik123/Project-on-Company-dataset-EDA-and-Feature-Engineering-by-Random-Forest-Regressor-Alogrithm

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jarif87/totall-bill-prediction-using-docker

Predict total bill with Random Forest regressor. Dockerize for deployment.

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rintasn/AIML-RandomForest-House-Prices-Prediction

Predicting House Prices with Random Forest Regression

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alvarillo89/forecast-airflow

Microservicio que predice la temperatura y humedad usando Arima y RandomForestRegressor

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

bhavesh2205/Real-Estate-Valuation-Prediction-New-Taipei-City

Built a regression model for house price prediction of New Taipei city of Xindian district, Taiwan. which can help urban design and urban policies, as it could help identify what factors have the most impact on property prices.

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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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OmerGamie/mlproject

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

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GeraDLC/COVID19_Analysis

Este trabajo se enfoca en la implementación de Limpieza, Análisis Exploratorio de Datos y Visualización de Datos para obtener conclusiones acerca del COVID-19 en Alemania.

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shaanVM/BigMartSalesPrediction

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raghavendranhp/Predictive-Analytics-in-Automotive-Manufacturing-Testing-Time-Optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Dhruv7055/House-Price-Prediction

Predicting House Prices using LinearRegresion, DecisionTreeRegression, RandomForestRegressor.

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MihoRosenberg/Bangladesh-Flood-Guard

Predict precipitation to mitigate flood damage in Bangladesh

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May-code-source/Cryptocurrency-Price-Prediction

Cryptocurrency price prediction using Machine Learning, , aimed at aiding investors in making well-informed decisions by forecasting cryptocurrency prices across different timeframes in the dynamic and volatile market.

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ghulam-ahmad-1/House-prize-Prediction

Model Trainig To predict the Prize Of House

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Simrank23/Flight-Booking-Price-Prediction

The objective is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets. A thorough study of the data will aid in the discovery of valuable insights that will be of enormous value to passengers. Apply EDA, statistical methods and Machine learning algorithms in order to get meaningful information from it.

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5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

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somenath203/Gold-Price-Prediction

Click below to visit the website live

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lakki0704/Price_Prediction_ML-

Gold Price Prediction || Stock Price Prediction || Portfolio Optimisation

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thao-phan23/Walmart-weekly-sales-forecast-tool

Generated automated weekly sales forecast by departments in 45 stores using a dataset of weekly sales data spanning over 2 years, by employing the Random Forest Regressor model with achieving the Mean Absolute Error (MAE) of less than 10% of the forecast.

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rukshar69/Flight-Price-Prediction

Predict Prices for Indian Flights

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tamccullough/nutmeg

Analyzing the satistics & results of the Canadian Premier League - Dashboards and Stat Tables - MNB - Random Forest

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Vmalik1995/FlightDelay

Flight Delay using Machine Learning

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siahyeelong/Predicting-HDB-Resale-Flat-Prices

This project was done as part of the Introduction to Data Science and AI module in NTU. In this project, my team explored on using 3 different models to predict the resale prices of a HDB flat given its features. As this was our first attempt at machine learning, the concepts used are pretty trivial

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letandrade/alavancagem_vendas

O objetivo deste case é trazer insights sobre o que um time de uma empresa do ramo de varejo poderia fazer para alavancar as vendas via análise de dados e machine learning.

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adiag321/Boston-AMES-Housing-Price-Prediction

In this project, we will predict the price for AMES House and learn Machine Learning Algorithms, different data preprocessing techniques such as Exploratory Data Analysis, Feature Engineering, Feature Selection, Feature Scaling and finally to build a machine learning model.

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SriMurugan-27/IOBSIP---Sales-Prediction-

My data science internship at Oasis Infobyte My Last task as a Sales Prediction is now fulfilled.

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vermaharsh18/Car-Price-Prediction

Car price prediction and its deployment

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GoodnessUdochukwu/Housing-Price-Regression

This project utilizes housing features to develop a regression model for predicting housing prices.

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roopacalistus/Random-Forest

Regression models using Random Forest Algorithm

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hariprasath-v/Hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

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Anant-mishra1729/Car-price-predictor

Predicting old car prices based on various parameters

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Moez7/Implementation-of-end-to-end-car_price_prediction-project-using-Flask

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gakas14/Fare_prediction_for_Yellow_Taxi

Design an algorithm that will tell the fare to be charged for a passenger.

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gakas14/California_house_price_prediction

Build a model to predict the median house values in California.

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akshanshgusain/RealEstate-Price-Predictor

Real Estate Price Predictor Model with SciKitLearn

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Aakkash24/Flight-fare-prediction-

This model predicts the flight fare given the conditions and built using randomforest

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vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

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Manu-Gr/Project-Deployment---Energy-prediction

Combined Power Plant - Energy Prediction Using Random Forest Regressor - Deployment using Streamlit

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Rishi45D/Fare-Price-Prediction-using-RF

In the last few years, the number of for-hire vehicles operating in NY has grown from 63,000 to more than 100,000. However, while the number of trips in app-based vehicles has increased from 6 million to 17 million a year, taxi trips have fallen from 11 million to 8.5 million. Hence, the NY Yellow Cab organization decided to become more data-centric. Then we have apps like Uber, OLA, Lyft, Gett, etc. how do these apps work? After all, that set price is not a random guess.

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