dataeducator
Focus not on the intention but on the impact and value of your insights. I help learners combine their domain knowledge with data analysis processes.
Fanwood, NJ
Pinned Repositories
amplify
The ProgramEquity Amplify app for Open Source Fellows
dataeducator
dsc-combining-dataframes-pandas
dsc-data-analysis-python-recap
dsc-getting-started-sql-intro
dsc-pandas-groupby
healthy_heart
A repo using machine learning to predict heart disease using NNs, Random Forest and XGBoost. A repo using machine learning to classify chest x-ray images using CNNs. The dataset is from the heart-failure-prediction dataset on Kaggle.
image_classification_with_deep_learning
A repo using machine learning to classify chest x-ray images using CNNs. 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).
sales_and_product_management
A Sales and Product Management Dashboard created using SQL, Power BI and Microsoft Adventureworks2022 data
student_academic_success
A repo using machine learning to classify student academic success based on data supported by program SATDAP - Capacitação da Administração Pública under grant POCI-05-5762-FSE-000191, Portugal
dataeducator's Repositories
dataeducator/sales_and_product_management
A Sales and Product Management Dashboard created using SQL, Power BI and Microsoft Adventureworks2022 data
dataeducator/amplify
The ProgramEquity Amplify app for Open Source Fellows
dataeducator/dataeducator
dataeducator/dsc-combining-dataframes-pandas
dataeducator/dsc-data-analysis-python-recap
dataeducator/dsc-getting-started-sql-intro
dataeducator/dsc-pandas-groupby
dataeducator/dsc-summary-data-cleaning-pandas
dataeducator/healthy_heart
A repo using machine learning to predict heart disease using NNs, Random Forest and XGBoost. A repo using machine learning to classify chest x-ray images using CNNs. The dataset is from the heart-failure-prediction dataset on Kaggle.
dataeducator/open-source-practice
Repo for you to raise a Pull Request for practice
dataeducator/image_classification_with_deep_learning
A repo using machine learning to classify chest x-ray images using CNNs. 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).
dataeducator/actions-toolkit
🛠 A toolkit for building GitHub Actions in Node.js
dataeducator/arcgis-python-api
Documentation and samples for ArcGIS API for Python
dataeducator/aws-deploy-with-github-actions
AWS/Github workshop
dataeducator/Brain-Tumor-Classification-DataSet
Data for MRI brain tumor classification
dataeducator/deploy-to-aws-with-github-action
dataeducator/dsc-data-ethics
dataeducator/dsc-distributions-intro-v2-2
dataeducator/dsc-pipelines-lab-v2-1
dataeducator/dsc-pipelines-v2-1
dataeducator/dsc-probability-section-recap
dataeducator/dsc-problems-data-science-can-solve
dataeducator/dsc-refactoring-with-pipelines
dataeducator/dsc-the-data-science-process
dataeducator/GPT-4-LEAFLET-NEXT-JS
This project demonstrates the integration of GPT-4 and React-Leaflet to visualize geographic data. The app fetches coordinates and a location title from GPT-4 based on a user query, and then renders them as markers on a Leaflet map.
dataeducator/hugo-initio
Hugo Theme port of Initio bootstrap template by GetTemplate
dataeducator/MaternalMortality
dataeducator/mygitactions
dataeducator/nlp
A repository that uses NLP
dataeducator/spellcheck-action