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HenyerM / Predicting-House-Sell-Price

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In this project we will work with housing data for the city of Ames, Iowa, United States from 2006 to 2010. You can read more about why the data was collected here (https://doi.org/10.1080/10691898.2011.11889627). You can also read about the different columns in the data here (https://www.tandfonline.com/doi/abs/10.1080/10691898.2011.11889627).

linear-regression sklearn datacleaning kfold-cross-validation featureengineering featureselection get-dummies
  • Updated Apr 26, 2022
  • Jupyter Notebook

Hamim-Hussain / Enhancing-Deep-Learning-Model-Performance

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Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.

python data-science machine-learning deep-learning neural-network pandas predictive-modeling dataframe hidden-layers activation-functions model-optimization get-dummies model-training-and-evaluation
  • Updated Aug 22, 2023
  • Jupyter Notebook

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