You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.
Advanced MCP server for comprehensive web research, content discovery, and trends analysis. Features multi-engine search, intelligent content extraction, website traversal, and real-time data streaming.
A comprehensive project using Python, APIs, web scraping, and data visualization to identify emerging skills in demand. Includes data collection, wrangling, analysis, visualizations, a Google Looker Studio dashboard, and a final presentation.
Python CLI for Google Trends analysis with advanced rate limiting, cookie auth, and beautiful terminal output. Built on pytrends with enterprise features.
Stock market prediction using machine learning uses algorithms like regression, SVM, and LSTM to analyze historical and market data to forecast future stock prices or trends. These models detect patterns and relationships in large datasets to assist in investment decisions.
It should be an app and site called EVOLVEION the web should be evolveion.com it should have features like ai, feeds, socials media interaction, login information, no ads, private chat like Whatsapp and it should look like ex
Vrinda Stores 2022 Annual Sales Report is a comprehensive project that analyzes sales data, addressing business issues through data understanding, cleaning, and visualization using pivot tables, charts, and graphs. The culmination is an interactive Excel dashboard designed for a user-friendly presentation of results.
The goal of this project is to generate actionable insights for healthcare stakeholders. By analyzing complex trends and patterns, it aims to support decision-makers, healthcare professionals, and policymakers in making informed decisions that improve the efficiency and effectiveness of the U.S. healthcare system.
This project demonstrates how to use the CrewAI framework to create a team of AI agents that collaboratively perform a market sector analysis. The agents identify key players, gather information about them, analyze industry trends, and compile a final report.
This project analyzes YouTube users across 87 countries, showing the platform’s global popularity. The data helps content creators identify key audiences and consider differences in monetization rates when targeting viewers.
An employer has tasked a data analyst with utilizing the provided raw data to generate insightful visual representations. The goal is to extract valuable insights that can contribute to enhancing the overall performance of the company.
This project explores startup funding trends in India using statistical methods like Chi-Square Test, ANOVA, and Linear Regression. It analyzes success rates across industries, locations, and funding amounts, identifying key patterns that impact startup growth and investor interest.