Tutorials on machine learning, artificial intelligence in general and in biomedical research.
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Updated
May 3, 2024 - Jupyter Notebook
Tutorials on machine learning, artificial intelligence in general and in biomedical research.
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
Data Analytics Projects - analyzed with - (Excel)
Sale Analysis of video games copies between 1980 and 2020. Data filtered with SQL, dashboard created using Power BI.
This repository contains a Power Bi dashboard of an E-commerce store to answer questions about the data. The insights of the dashboard can be found in the results.txt file. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.
Embark on an engaging project that seamlessly combines the tech-driven realms of web scraping, ETL , and insightful EDA. Dive into the Apple ecosystem as you leverage these techniques to uncover hidden gems, transform raw data into meaningful insights, and create an immersive experience at the intersection of data exploration.
Interactive dashboard created with Javascript, Bootstrap 4 HTML and CSS, D3.js, and Plotly.js
This repository contains a dataset of Lionel Messi's Club Career Goals and a dashboard to analyze and answer some questions about the data. The results of the analysis can be found in the result.txt file.
Hotel Booking Cancellation Project Using Excel - Data Analyst Project
This project presents an interactive Power BI dashboard focused on Netflix's extensive library of movies and TV shows. With over 8000+ titles available on their platform, the dashboard offers insights into key details such as cast, directors, ratings, release year, and duration.
HR ANALYTICS DASHBOARD by using Power-Bi (Data Analytics)
Data Analytics Projects - visualized with - (Tableau)
Tokyo-olympic-azure-data-engineering-end-to-end-project
Creating visualisations to better understand data
Flight Delay and Cancellation Prediction using Tableau for the year 2015
Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.
Dashboard for COVID-19, built using Vega
The Data Visualization Dashboard for Website Scoring is a project that visually presents website scoring data through charts and graphs.
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