Pinned Repositories
Azure-Sentinel
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
interpret-community
Fit interpretable models with blackbox machine learning.
InterpretableML
Explainability/interpretability overview and demonstration of ML tools in the Azure stack used at Avanade IT Analytics.
jupyter-extension
Enabling jupyter extensions for use in Binder
Kaggle-Costa-Rican-Poverty-Prediction
Costa Rican Household Poverty Level Prediction (Kaggle)
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Neural-Network-Overview
Very high-level simple neural network overview.
Nutrition-from-Web-Scraped-Recipes
We are using the web scraper, [beautiful soup](https://www.crummy.com/software/BeautifulSoup/), to pull all recipes from a multitude of food websites, followed by the scraping of those individual sites using an established package from [github](https://github.com/hhursev/recipe-scrapers). We will analyze the nutritional content (from the USDA) of recipes found on a large dataset of online recipes and give comparisons accordingly.
Sentinel-Snow-App
shap
A game theoretic approach to explain the output of any machine learning model.
nemasobhani's Repositories
nemasobhani/Nutrition-from-Web-Scraped-Recipes
We are using the web scraper, [beautiful soup](https://www.crummy.com/software/BeautifulSoup/), to pull all recipes from a multitude of food websites, followed by the scraping of those individual sites using an established package from [github](https://github.com/hhursev/recipe-scrapers). We will analyze the nutritional content (from the USDA) of recipes found on a large dataset of online recipes and give comparisons accordingly.
nemasobhani/Neural-Network-Overview
Very high-level simple neural network overview.
nemasobhani/Azure-Sentinel
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
nemasobhani/interpret-community
Fit interpretable models with blackbox machine learning.
nemasobhani/InterpretableML
Explainability/interpretability overview and demonstration of ML tools in the Azure stack used at Avanade IT Analytics.
nemasobhani/jupyter-extension
Enabling jupyter extensions for use in Binder
nemasobhani/Kaggle-Costa-Rican-Poverty-Prediction
Costa Rican Household Poverty Level Prediction (Kaggle)
nemasobhani/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
nemasobhani/Sentinel-Snow-App
nemasobhani/shap
A game theoretic approach to explain the output of any machine learning model.