psmattas/Cardiovascular-Heart-Disease-Prediction-Model
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Puranjay Savar Mattas
2023-02-11 13:24:35 +05:30
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README.MD
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# Cardiovascular Heart Disease Prediction Model (Stacking Model) # Cardiovascular Heart Disease Prediction Model (Stacking Model)
`Last Updated: 09th February 2023` `Last Updated: 11th February 2023`
### **THIS RESEARCH IS BEING PUBLISHED** ### **THIS RESEARCH IS PUBLISHED PLEASE [CLICK HERE](https://ijrpr.com/uploads/V4ISSUE2/IJRPR9920.pdf) FOR READING THE PAPER**
## Dataset Information ## Dataset Information
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2. Pandas 2. Pandas
3. Matplotlib 3. Matplotlib
4. Scikit-Learn 4. Scikit-Learn
5. Seaborn
6. Cufflinks
## Tools Needed: ## Tools Needed:
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2. Pandas: Used to analyze the data. 2. Pandas: Used to analyze the data.
3. OS Module: For working with files/directories. 3. OS Module: For working with files/directories.
4. matplotlib: Used for programmatic plot generation. 4. matplotlib: Used for programmatic plot generation.
5. Seaborn: Used for statistical graphics. 5. Warnings: Used to control warnings in Python.
6. Warnings: Used to control warnings in Python. 6. sklearn: These are simple and efficient tools for predictive data analsis.
7. sklearn: These are simple and efficient tools for predictive data analsis.
### Data Exploration ### Data Exploration
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1. random: It generates random output. 1. random: It generates random output.
## Acknowledgement ## Acknowledgement
This data was possible because of the work of [Kuzak Dempsy](https://data.world/kudem). This dataset was provided by the work of [Kuzak Dempsy](https://data.world/kudem).

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"metadata": {}, "metadata": {},
"source": [ "source": [
"# Cardiovascular Heart Disease Prediction Model (Stacking Model)\n", "# Cardiovascular Heart Disease Prediction Model (Stacking Model)\n",
"`Last Updated: 09th February 2023`\n", "`Last Updated: 11th February 2023`\n",
"\n", "\n",
"### **THIS RESEARCH IS BEING PUBLISHED**\n", "### **THIS RESEARCH IS PUBLISHED PLEASE [CLICK HERE](https://ijrpr.com/uploads/V4ISSUE2/IJRPR9920.pdf) FOR READING THE PAPER**\n",
"\n", "\n",
"### About this dataset:\n", "### About this dataset:\n",
"This dataset contains detailed information on the risk factors for cardiovascular disease. It includes information on age, gender, height, weight, blood pressure values, cholesterol levels, glucose levels, smoking habits and alcohol consumption of over 70 thousand individuals. Additionally it outlines if the person is active or not and if he or she has any cardiovascular diseases. This dataset provides a great resource for researchers to apply modern machine learning techniques to explore the potential relations between risk factors and cardiovascular disease that can ultimately lead to improved understanding of this serious health issue and design better preventive measures\n", "This dataset contains detailed information on the risk factors for cardiovascular disease. It includes information on age, gender, height, weight, blood pressure values, cholesterol levels, glucose levels, smoking habits and alcohol consumption of over 70 thousand individuals. Additionally it outlines if the person is active or not and if he or she has any cardiovascular diseases. This dataset provides a great resource for researchers to apply modern machine learning techniques to explore the potential relations between risk factors and cardiovascular disease that can ultimately lead to improved understanding of this serious health issue and design better preventive measures\n",