Pinned Repositories
011121-pt-ds
dsc-accessing-data-with-pandas
dsc-accessing-data-with-pandas-lab
dsc-analyzing-macbeth-project-v2-1
dsc-coefficient-of-determination-lab
dsc-combining-dataframes-pandas
dsc-combining-dataframes-pandas-lab
dsc-complete-regression-lab
dsc-conditionals
ML_Aviation_Safety
Learn how to use Machine Learning (ML) and automate modeling.
reynoso811's Repositories
reynoso811/ML_Aviation_Safety
Learn how to use Machine Learning (ML) and automate modeling.
reynoso811/011121-pt-ds
reynoso811/dsc-conditionals
reynoso811/dsc-correlation-covariance
reynoso811/dsc-correlation-covariance-lab
reynoso811/dsc-data-viz
reynoso811/dsc-data-viz-lab
reynoso811/dsc-functions-with-arguments-lab
reynoso811/dsc-implementing-statistics-with-functions-lab
reynoso811/dsc-measures-of-central-tendency
reynoso811/dsc-more-practice-with-matplotlib
reynoso811/dsc-more-practice-with-matplotlib-lab
reynoso811/dsc-project-template
Phase 1 Project Templates and Examples
reynoso811/dsc-using-nested-loops-lab
reynoso811/git_practice
reynoso811/Housing_Market_Analysis
reynoso811/Image-Classification-Pneumonia-X-rays-
Phase 04 project Image Classification with Deep Learning
reynoso811/Image-Classification-with-Deep-Learning
The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).
reynoso811/jupyter-notebook-introduction-data-science-intro-000
reynoso811/learn-co-sandbox
reynoso811/ML
reynoso811/Movie_Industry_Analysis
reynoso811/phase_03
ML automation
reynoso811/py-lists-with-maps-data-science-intro-000
reynoso811/python-lists-lab-data-science-intro-000
reynoso811/python-lists-readme-data-science-intro-000
reynoso811/python-practice-with-datatypes-data-science-intro-000
reynoso811/python-variables-lab-data-science-intro-000
reynoso811/python-variables-readme-data-science-intro-000
reynoso811/study-group-content
Study group material for Flatiron School Online