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The Product Review Sentiment Analysis project that leverages NLP and ML techniques to classify customer reviews into positive, negative or neutral sentiments. The application provides insights into customer feedback, helping to identify product strengths and weaknesses and enhance the overall customer experience.
Tableau Projects Practice Assignments : Tableau visualizations to spark your curiosity and fuel your data-driven journey. Step into the realm of compelling visualizations and elevate your data skills today."
Tableau is an intuitive tool for creating interactive, visual dashboards, making data analysis straightforward and actionable. It’s perfect for quickly turning data into insights.
This repository showcases a collection of Power BI projects that demonstrate data visualization, interactive reporting, and business intelligence capabilities. Each project transforms raw datasets into compelling dashboards and actionable insights, addressing real-world scenarios.
Tableau Visualizations Repository - Discover captivating Tableau data visualizations, gain insights, and enhance your data skills. Explore interactive dashboards and engaging data stories in one place.
Flight Insights is a Power BI project analysing 2,000,000 commercial flights from major US airports to uncover patterns in flight delays and cancellations. The project leverages a structured business intelligence workflow, including data transformation, modelling, and visualisation, to create an interactive dashboard to bring our data to life.
A dynamic Power BI dashboard that brings the games to life. Dive into key highlights, athlete details, medal counts, and historical trends with interactive visuals and comprehensive insights. Perfect for sports enthusiasts and data lovers alike.
This project involves creating an interactive Tableau dashboard to analyze bike sales data. The dashboard includes various visualizations such as bar charts, bubble charts, maps, and line charts to present insights on sales performance, profitability, and revenue trends across different dimensions like product, age group, and country.