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lopez-christian / Liver-Disease-Machine-Learning-Project

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This repository includes my Liver Disease Machine Learning-Flatiron School Module 3 Project. For this project I used libraries such as Pandas, Matplotlib, and Seaborn for visualizations and Scikit-Learn for the machine learning portion of the project. I implemented various classification algorithms on the data including some hyperparameter tuning.

python machine-learning algorithm algorithms random-forest scikit-learn machine-learning-algorithms jupyter-notebook datascience dataset flatiron-school hyperparameter-tuning scikitlearn-machine-learning adults correlations flatiron-school-project liver-disease albumin aspartate-aminotransferase alamine-aminotransferase
  • Updated Jun 25, 2020
  • Jupyter Notebook

chienleow / covid-volunteer-app

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The Covid Volunteer App: Stronger Together allows local businesses or non-profit organizations to post projects they need volunteers for. Volunteers can view and choose from a list of projects they want to be involved in, all in one place.

ruby community sinatra volunteer-management sinatra-applications flatiron-school volunteering community-engagment flatiron-school-project covid-19 covid covid-volunteer
  • Updated Apr 12, 2023
  • Ruby

lopez-christian / COVID-19-PyTorch-Image-Classifier

Star 1

This repository includes my COVID-19 PyTorch Image Classifier-Flatiron School Capstone Project. I used a resnet-18 model and trained it on the COVID-19 Radiography Dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized into three classes - Normal, Viral Pneumonia, and COVID-19. The objective of this project was to create a…

python machine-learning deep-learning jupyter-notebook pytorch kaggle datascience dataset flatiron-school dataloaders flatiron-school-project torchvision classifying-images covid covid19
  • Updated Oct 22, 2020
  • Jupyter Notebook

lopez-christian / House-Prices-Linear-Regression-Project

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This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

python machine-learning numpy linear-regression scikit-learn jupyter-notebook pandas seaborn kaggle datascience flatiron-school matplotlib grade flatiron-school-project house-prices scikit-learn-python sellers osemn king-county
  • Updated Apr 28, 2020
  • Jupyter Notebook

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