Machine Learning Project to create an AI capable of predicting property's rental prices.
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Updated
Nov 6, 2023 - Jupyter Notebook
Machine Learning Project to create an AI capable of predicting property's rental prices.
Broom but for sklearn, to tidy up the messy fit results for Linear Regression and KMeans.
A house price prediction dataset typically contains information about various factors that influence the sale price of houses. Here's a general description of the dataset structure: Features (Columns) in the Dataset: The dataset contains 7109 rows and 24 columns.
Broom but for sklearn, to tidy up the messy fit results for Linear Regression and KMeans.
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
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