Practice exercises and projects to learn data analysis with Excel. Let's explore together! 🔍💻
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Updated
Jul 7, 2024
Practice exercises and projects to learn data analysis with Excel. Let's explore together! 🔍💻
Health Center is an AI-driven platform where users input their symptoms to receive personalized medical advice, including diet plans, medicine recommendations, things to avoid, and exercise tips. Built with Python, Flask, and machine learning.
A Machine Learning model for generating gravitational waves
Sales Report and Product Analysis Using Pareto. Data Visualization in Power Bi
An Excel dashboard project analyzing Cyclistic bike-sharing data from June 2023 to design targeted marketing strategies by understanding usage patterns between annual members and casual riders.
Analyzing and visualizing Netflix's content catalog using Tableau to uncover patterns and trends for strategic content curation and user engagement.
This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.
Famous paintings SQL Case Study
Web scraped data and analyzed with Google Colab.
Utilizing Qlik's analytical powers, the project's goal is to find patterns, trends, and correlations in the airline operations data to help airlines, airports, and other relevant stakeholders make decisions.
A JavaScript-based prototype for analyzing Brazilian economic indicators, focusing on inflation. Uses Central Bank API for data fetching, basic statistical analysis and visualization.
Driver Behavior Analysis and Prediction is a RESTful web service that utilized the Java Spark framework for real-time big data analysis and visualization
Here in this work EDA is perform on the Stack Overflow dataset which contains about 85,000 responses to 84 questions. Numpy, Pandas,Matplotlib and Seaborn libraries of python are used in this work.
This repository hosts a machine predictive maintenance classification project, aimed at predicting the maintenance needs of industrial machinery before they fail. By leveraging machine learning algorithms, this project seeks to enhance operational efficiency and reduce downtime by identifying potential maintenance requirements proactively.
EDA on ZOMATO DATASET
This portfolio showcases a range of projects featuring predictive modeling, data visualization, and machine learning, with a strong focus on business intelligence and practical applications. Explore my work to see how I harness data to inform strategic decisions and enhance operational efficiency.
Interactive web-app using Streamlit and FastAPI back-end: Exploratory data analysis (EDA) and classification model integration
Dashboards (Netflix overview - Part 1, Single Title View - Part 2) had been created in Power BI using Excel and SQL in order to extract, organize and manipulate the data.
The project aims to provide a comprehensive understanding of the dataset related to heart disease and build predictive models to classify whether a patient is likely to have heart disease based on various attributes.
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