Python Project - How to ANALYZE Patients Heart Data - Complete Exploratory Data Analysis.
In this video, we dive deep into Exploratory Data Analysis (EDA) on Patients' Heart Data, uncovering key patterns and insights using Python. If you're an aspiring data analyst, data scientist, or healthcare professional looking to leverage data for better decision-making, this project is for you!
What You’ll Learn:
✅ How to load and clean real-world healthcare data
✅ Key EDA techniques using Pandas & NumPy
✅ Data visualization with Matplotlib & Seaborn
✅ Identifying trends, distributions, and correlations in patient heart health
✅ Understanding key health metrics that impact cardiovascular health
Tools Used:
🛠 Python (Jupyter Notebook)
📊 Pandas, NumPy (Data manipulation)
📉 Matplotlib, Seaborn (Data visualization)
🚀 Who is this for?
✔️ Data Science & Analytics Beginners
✔️ Healthcare Analysts
✔️ Anyone interested in real-world data projects
💡 Pro Tip: A strong understanding of EDA is the foundation of any successful Machine Learning or Data Science project. Mastering it will help you make better predictions and insights!
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Facebook / medidataperspectives
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link to this project on GitHub https://github.com/FaeyO/Heart-data-a...
link to my google drive to download dataset used : https://drive.google.com/drive/folder...
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#python #datascience #eda #exploratorydataanalysis #machinelearning #healthcareanalytics #pythonprojects #heartdisease #datavisualization #bigdata #dataanalytics
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