Skip to content
View Helenaden's full-sized avatar

Block or report Helenaden

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Neonatal-Sepsis-PredictionNeonatal-Sepsis-PredictionPublic

    This work contains an algorithm for predicting neonatal sepsis using EMR data from Mbarara Regional Referral Hospital (MRRH). The proposed algorithm implements SVM, LR, KNN, NB, and DT.

    Jupyter Notebook

  2. SQL-Queries-for-dvdrental-DatabaseSQL-Queries-for-dvdrental-DatabasePublic

    This repository contains a collection of SQL queries aimed at exploring and analyzing the `dvdrental` database.

  3. Deep-LearningDeep-LearningPublic

    This repository contains a series of hands-on deep learning projects, starting from foundational concepts like image classification with simple neural networks to advanced techniques such as transf…

    Jupyter Notebook

  4. Deploy-AWS-Lambda-that-scans-newly-uploaded-S3-files-with-ClamAVDeploy-AWS-Lambda-that-scans-newly-uploaded-S3-files-with-ClamAVPublic

    Using Terraform and GitHub Actions to deploy a serverless file scanner on AWS. This project delivers: secure, scalable malware scanning, invisible to the end user, and cost-effective.

    HCL

  5. Scalable-and-secure-3-tier-application-architecture-in-AWS-using-Terraform-and-GitHubactionsScalable-and-secure-3-tier-application-architecture-in-AWS-using-Terraform-and-GitHubactionsPublic

    Using Terraform and GitHub Actions to deploy a production-grade, secure, and resilient 3-tier application, showcasing how security and scalability can be baked in from day one.

    HCL

  6. Data-Science-FundamentalsData-Science-FundamentalsPublic

    This project delves into fundamental data science concepts using Python libraries like NumPy and Pandas. Using the MovieLens dataset as a case study.

    Jupyter Notebook