priyam-choksi Goto Github PK

aws-glue-cheat-sheet

cheat-sheets

This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.

city-real-time-streaming-data-pipeline

This project covers each phase from data ingestion to processing and finally storage. We'll utilize tools like IOT devices, Apache Zookeeper, ApacheKafka, Apache Spark, Docker, Python, AWS Cloud, AWS Glue, AWS Athena, AWS IAM, AWS Redshift and finally PowerBI.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

data-integration-and-business-intelligence

This project involves creating a robust data warehouse to support the sales and purchasing operations of the AdventureWorks company. Utilizing multiple data sources from different database systems, the main goal is to provide a unified view that facilitates complex queries and reporting.

diabetes-streamlit-app

This Diabetes Prediction App aims to assess the likelihood of diabetes based on various health metrics provided by the user. The application leverages a Logistic Regression model, well-suited for binary classification tasks, to predict the onset of diabetes. It features a user-friendly web interface developed with Streamlit.

ds-ml-notebooks

This repository is a showcase of my data science and machine learning projects. Each notebook is an independent project where I explore different datasets, apply various data processing techniques, and build machine learning models. The goal is to demonstrate my skills and share my learning journey with the community.

info6105_ds

Repo for Uploading Assignments and Pet Projects.

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

languagemodel

machine-learning-visualizers

ml-algorithms-from-scratch

nba-injury-prediction-model

personalized-movie-recommendation-engine

pokemongan

priyam-choksi

real-time-stock-market-data-processing

This project focuses on constructing a real-time data engineering pipeline for stock market data using Apache Kafka, Python, and various AWS services. The goal is to demonstrate an end-to-end implementation that collects, processes, stores, and queries stock market data in real-time.

rnn

scalable-data-engineering-pipeline-using-apache-kafka-apache-spark-and-cassandra

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

streamlit-image-to-pixel

streamlitdiffusion

uber-etl-data-engineering-project

The goal of this project is to perform data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.