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Projects in Awesome Lists tagged with boston-housing-price-prediction

A curated list of projects in awesome lists tagged with boston-housing-price-prediction .

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https://github.com/rodrigobressan/keras_boston_housing_price

Keras 101: A simple Neural Network for House Pricing regression

boston-housing-price-prediction jupyter-notebook keras model-explanation shap

Last synced: 06 Nov 2024

https://github.com/aahouzi/optimization-for-machine-learning

Implementation of 11 variants of Gradient Descent algorithm from scratch, applied to the Boston Housing Dataset.

boston-housing-price-prediction convex-optimization gradient-descent housing-prices machine-learning-algorithms mathematics optimization optimization-algorithms

Last synced: 27 Oct 2024

https://github.com/geekquad/boston-housing

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.

boston-housing-price-prediction decisiontreeregressor eda

Last synced: 11 Oct 2024

https://github.com/josancamon19/boston_housing

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity

Last synced: 07 Nov 2024

https://github.com/ltk-mxz/ml

Machine Learning projects !

boston-housing-price-prediction ml price-prediction

Last synced: 27 Oct 2024

https://github.com/juzershakir/predicting_boston_housing_prices

Builded 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.

bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree

Last synced: 09 Oct 2024

https://github.com/sauravwel/boston-housing-price-prediction-using-deep-learning

This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.

boston-housing-price-prediction deep deep-learning housing housing-price-prediction housing-prices tensorflow tensorflow-tutorials

Last synced: 03 Nov 2024