Supervised regression to predict Boston housing price
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Updated
Jan 8, 2018 - HTML
Supervised regression to predict Boston housing price
Regularized linear regression model to predict the water flow from a dam | Examined effects of bias vs variance
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Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
Developing very simple and default user interface
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
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Use the DecisionTreeRegressor for predicting the house price based on Boston housing dataset.
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
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