aydanbedingham,Aydan Bedingham,github

badusb-session-hijacker

BadUSB exploit variant capable of extracting Chrome cookies from the local machine and utilizing them to perform session-hijacking.

cf-codecommit-backup-to-s3

Automate event-driven backups from CodeCommit to Amazon S3 using CodeBuild and CloudWatch Events

cf-codepipeline-deployment-react

CodePipeline cross-account deployment pipeline for ReactJS website to a CloudFront distribution backed by an S3 origin

cf-react-cors-spa

React CORS-friendly Single Page Application hosted on Amazon S3 and exposed through a CloudFront distribution with support for React Router navigation

cf-simple-ingestion-pipeline

CloudFormation template for simple data ingestion pipeline using S3, SQS & Lambda.

cf-sso-permissions

Demonstrates the assignment of AWS Permissions to existing AWS IAM Identity Center Groups using CloudFormation.

cf-style-guide

CloudFormation Style Guide

data-encoding-approaches

Explores data encoding approaches (One-Hot Encoding of Nominal Data, Label Coding of Ordinal data, Cyclical Encoding of Time-Series data .etc)

deauth-wifi-jammer

Script to automate the usage of the aircrack-ng to perform the Wi-Fi deauthentication denial-of-service attack against access points.

horn-form-inference-engine

Inference engine for propositional logic that uses Forward Chaining, Backward Chaining and Truth Table Checking to evaluate Knowledge Bases expressed as Horn Clauses.

iot-rgb-light

Internet of Things Red/GreenBlue Light created using an Arduino Microcontroller and Cloud-based MQTT Broker Service.

mind-controlled-robot

Arduino robot controlled via facial expressions obtained from an Emotiv Insight EEG headset.

mklink

Script used to create Windows shortcut files on a Linux OS

ml-autogluon-tabular-classification

Uses Autogluon to build, train, and test a Tabular classification predictor to determine whether a tumor is malignant or benign.

ml-autogluon-tabular-regression

Uses Autogluon to build, train, and test a variety of machine learning models to predict the number of casual users from a bike rental usage dataset.

ml-eda-pandas-dataframes

Jupyter Notebook used to perform Exploratory Data Analysis (EDA). Uses Pandas and Numpy to create and populate a dataset.

ml-eda-pandas-importing-data

Jupyter Notebook used to perform Exploratory Data Analysis (EDA). Uses Pandas and Numpy to load a dataset from file and list it's contents.

ml-eda-pandas-operations-and-filtering

Jupyter Notebook used to perform Exploratory Data Analysis (EDA). Uses Pandas and Numpy to mutate and filter datasets.

ml-eda-seaborn-matplotlib-data-visualization

Jupyter Notebook used to perform Exploratory Data Analysis (EDA). Visualizes stock prices using Seaborn and Matplotlib.

ml-sagemaker-data-wrangler

AWS SageMaker Data Wrangler flow used to Prepare, Clean and Visualize Data from Cardiovascular Disease dataset.

ml-sagemaker-linear-regression

Jupyter Notebook that uses Amazon SageMaker to train, deploy & test a Linear Learner ML model capable of predicting the impact of Automobile Horse Power on Fuel Economy.

ml-sagemaker-multiple-linear-regression

Jupyter Notebook that uses SageMaker Linear Learner to train an ML model and perform a multiple linear regression on a S&P 500 dataset.

ml-sagemaker-xgboost-hyperparameter-tuning

Jupyter Notebook that uses SageMaker to train an XGBoost ML model and performs hyperparameter optimisation using SageMaker Hyperparameter Tuning Jobs.

ml-sagemaker-xgboost-regression

Jupyter Notebook that uses SageMaker to train an ML model that uses XGBoost to perform regression on a Life Expectancy dataset.

ml-scikit-learn-decision-trees

Jupyter Notebook that uses Scikit-Learn DecisionTrees to determine feature importance

ml-scikit-learn-multiple-linear-regression

Jupyter Notebook that uses Scikit-Learn to train an ML model and perform a multiple linear regression on a S&P 500 dataset.

ml-scikit-learn-simple-linear-regression

Jupyter Notebook that uses Scikit-Learn to train an ML model and perform simple linear regression on a fuel consumption dataset.

ml-scikit-learn-xgboost-hyperparameter-tuning

Jupyter Notebook that uses Scikit-Learn to train an XGBoost ML model and perform hyperparameter tuning using GridSearch.

ml-scikit-learn-xgboost-regression

Jupyter Notebook that uses Scikit-Learn to train an ML model that uses XGBoost to perform regression on a Life Expectancy dataset.

ml-xgboost-classification

Jupyter Notebook that uses SageMaker and Scikit-Learn to train an ML model that uses XGBoost to perform classification for presence of Cardiovascular Disease.

aydanbedingham Goto Github PK

Aydan Bedingham's Projects

Recommend Projects

Recommend Topics

Recommend Org