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Your go-to repository for interview preparation, use-case, research and practice where you’ll find curated notes, sample QA and code strategies in notebooks, text and pdf to help you navigate next level technical stacks. | BigData | GenAI | AI-ML | Java | Docker | DB | Cloud | Data Science | SQL | CPP
This repository showcasing my works in the field of Big Data Analytics done while pursuing the course on the same provided by CSE(AI and ML) department of the Pimpri-Chinchwad College of Engineering, Pune.
Explore Python para análise de dados com este repositório. Desenvolva um modelo de regressão linear para prever casos de dengue e utilize aprendizado de máquina para classificar dados do conjunto Iris.
Explore essential MapReduce design patterns for big data processing! This repository includes practical implementations of patterns from the "MapReduce Design Patterns" book, complete with examples across summarization, filtering, organization, joins, and more.
Spark Home Sales Analysis utilizes Apache Spark to explore and analyze home sales data, providing insights into average prices based on various criteria. The project employs Spark SQL queries for efficient data processing and is designed for easy setup and usage.
The aim of the project is to gain insights into customers' booking behaviors, preferences, and decision-making processes when reserving hotel accommodations.The data analysis process involves cleaning and organizing the hotel reservation data and generating visualizations and reports to present the findings.
This analysis was pereformed as a final project for Rutgers MSBA Course "Big Data Analytics". It consists of a data analysis and generated machine learning models based on open source research data collected by researcher Milanz Dravkovic from a single pharmacy's point-of-sales system.