balakarthikeya19 Goto Github PK

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

autonomous-fire-fighting-robot-using-tinkercad

balakarthikeya19

Config files for my GitHub profile.

cloud_ml_project

cloud_project_sem_6

cloud_sem_6_project

cryptography-using-linear-algebra

ddos-attack-detection-and-mitigation-using-raspberry-pi

DDOS Attack detection and Mitigation Using ML Methods and Raspberry Pi

demo

devops

it is created for practical purpose

drowsiness-and-yawn-detection-with-voice-alert-using-dlib

heart-disease-prediction-using-machine-learning

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

heart-disease-prediction-using-ml-from-scratch

mid-piece

mlproject

musician-app

NodeJS / React sample app for AWS CI/CD pipeline tutorial

musician-app-final

NodeJS / React sample app for AWS CI/CD pipeline tutorial

nano-demo-calculator-app

Demo app to test and get used to the demo envrionment

personal-site

randomised-incremental-algorithm

stock-market-kafka-data-engineering-project

Implemented a real-time data analysis system for the stock market using Kafka in AWS. The system aims to process, analyze, and manage streaming stock market data efficiently and reliably, enabling users to make aware investment decisions and gain valuable insights from the data in real-time

tindog

uber-data-analytics-etl-pipeline-de-project

Developed an end-to-end data engineering solution using Mage, and BigQuery in the GCP. The project aims to process, analyze, and derive meaningful insights from Uber's vast amounts of data, providing the company with valuable business intelligence and data-driven decision-making capabilities.