https://github.com/djdurga/heart-disease-analysis

Health is real wealth in the pandemic time we all realized the brute effects of COVID-19 on all irrespective of status. We are required to analyze this health and medical data for better future preparation.
https://github.com/djdurga/heart-disease-analysis

heart-disease machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot pandas python random-forest

Last synced: about 2 months ago
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Health is real wealth in the pandemic time we all realized the brute effects of COVID-19 on all irrespective of status. We are required to analyze this health and medical data for better future preparation.

• Host: GitHub
• URL: https://github.com/djdurga/heart-disease-analysis
• Owner: Djdurga
• Created: 2024-06-05T06:25:43.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-01T10:06:53.000Z (over 1 year ago)
• Last Synced: 2025-02-01T21:32:55.748Z (9 months ago)
• Topics: heart-disease, machine-learning, machine-learning-algorithms, matplotlib, matplotlib-pyplot, pandas, python, random-forest
• Language: Jupyter Notebook
• Homepage:
• Size: 1.69 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Heart-Disease-Analysis

Health is real wealth in the pandemic time we all realized the brute effects of COVID-19 on all

irrespective of status. We are required to analyze this health and medical data for better

future preparation.

Do ETL: Extract- Transform and Load data from the heart disease diagnostic database

We can perform EDA through Python. The database extracts various information such as

Heart disease rates, Heart disease by gender, by age.

We can even compare attributes of the data set to extract necessary information. Make the

necessary dashboard with the best we can extract from the data. Using various visualizations

and features to make the best dashboard

Find key metrics and factors and show the meaningful relationships between attributes.

# Project Overview

- **Title:** Heart Disease Diagnostic Analysis

- **Domain:** Healthcare

- **Difficulty Level:** Intermediate

# Project Requirements

- **Objective:** Analyze health and medical data to prepare for future health crises.-

- **Tasks:**

    - **ETL Process:** Extract, Transform, and Load data from the heart disease diagnostic database.

    - **Exploratory Data Analysis (EDA):** Use Python to explore data such as heart disease rates, and its distribution by gender and age.

    - **Comparison of Attributes:** Identify necessary information by comparing various attributes within the dataset.

    - **Dashboard Creation:** Create a dashboard using visualization tools (Tableau, Power BI, etc.) to present the findings.

    - **Key Metrics and Relationships:** Identify and showcase meaningful relationships between different data attributes.

    - **Research and Findings:** Conduct independent research to uncover additional insights.

# Technologies and Tools

- **Programming Language:** Python

- **Visualization Tools:** Tableau, Power BI