fastai_deeplearn_part1. Notes for Fastai Deep Learning Course
1.1kds_resources. Data Science Resources
80git-intro-workshop. Git Intro Tutorial
77deploying-mobile-app. TypeScript
15deploying-web-app. Jupyter Notebook
9reshamas.github.io. my website
5kaggle_iceberg. Jupyter Notebook
5plotly-animations. Examples of animations in Jupyter Notebook using Plotly
4pyohio-plotly. PyOhio: Annotating Plotly Visualizations
4food. Food Dataset
3codedeploy-sample. My AWS Code Deploy Sample
2datascience-utilities. datascience oriented utilities: histograms, aggregations, plots, data manipulation, and other common tasks.
1pytorch_work. PyTorch work in progress
1scikit-learn-mooc. scikit-learn-mooc
1dl_fastai. Deep Learning: fastai work
1bayarea-2019-scikit-sprint. Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)
1ds_projects. Data Science Projects
1scikit-learn. scikit-learn: machine learning in Python
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