Sepideh Hosseinian's Projects
Compilation of resources and insights that helped me on my journey to data scientist
this is a Hugo continuous delivery site
DVC's data management subsystem
š Log and track ML metrics, parameters, models with Git and/or DVC
In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.
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Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Example code and files from "Kubernetes: Up and Running"
Demo: Building a FastAPI app.
Feature Store for Machine Learning
Feature engineering package with sklearn like functionality
Secure and fast microVMs for serverless computing.
Small Flask Microservice that makes the change
Deploy Flask Machine Learning Application on Azure App Services
A flask microservice for generating random fruit!
This is a project to auto-deploy with an ML payload
This is a repo for building out Github Actions and Tricks
Graph Data Science with Neo4j, Published by Packt
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
Join us at H2O.ai to make the world's best open-source GPT with document and image Q&A, 100% private chat, no data leaks, Apache 2.0