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May 24, 2019 - HTML
price-prediction
Here are 17 public repositories matching this topic...
Website for rent price prediction using Linear Regression Machine Learning model and Flask as a backend.
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Aug 22, 2023 - HTML
AI predictions of house prices (currently Danish only)
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Mar 24, 2020 - HTML
A Comprehensive Study of Rice Production and Price in Bangladesh: Geospatial Visualization and Predictive Modeling Techniques.
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Oct 29, 2023 - HTML
Python Data Science for Real Estate REIT Amsterdam, North Holland, The Netherlands
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Apr 4, 2024 - HTML
Using XGboost to predict accommodation listing prices
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Jan 25, 2021 - HTML
A data-based approach to analyse and compare prices and characteristics of Airbnbs listings in Montreal and Toronto and identify the key factors affecting their prices.
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Jan 21, 2021 - HTML
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Oct 27, 2023 - HTML
A regression problem aiming to predict the price of used vehicles based on factors like the car name, its brand, kilometers driven, fuel type, location of sale and more...
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Aug 20, 2020 - HTML
Predictive analytics of King County real estate prices using data mining techniques. Insights for home valuation and trend analysis from May 2014 to May 2015 dataset.
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Mar 21, 2024 - HTML
A Machine Learning Model to predict the house prices based on the square feet living
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Apr 19, 2023 - HTML
Price prediction and appartments recommendation
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Mar 20, 2024 - HTML
This is about a price prediction of cars by considering several factors
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May 12, 2021 - HTML
Prediction This repository contains the code and datasets for analyzing and predicting fuel prices, specifically Brent Oil, Crude Oil, Natural Gas, and Heating Oil. The project focuses on creating models to predict the closing prices of these fuels based on their opening, highest, and lowest prices.
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Jun 26, 2023 - HTML
This web application halps the user to understand the trends and analysis of Automotive Industry in form of Visualization and demonstrate how the Automotive Industry could harness data to take informed decisions.
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Feb 4, 2023 - HTML
ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authenti…
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Apr 23, 2019 - HTML
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