I am providing a dataset to you. By following the dataset name is "Heart Attack Analysis & Prediction Dataset" Need to solve the question is "do the Exploratory data analysis, visualization and prediction using the Python Libraries in Jupyter Notebook". In a report of exploratory data analysis which will include the following sections: 1. Introduction: Some background about your data 2. Research Questions: What are the questions you tried to answer for data analysis 3. Data Preprocessing and Cleaning 4. Different Feature Extractions 5. Various Types of REPRESENTATION of different variables 6. Answers of your research questions 7. Prediction if you have prediction 8. Conclusio
I am providing a dataset to you. By following the dataset name is "Heart Attack Analysis & Prediction Dataset" Need to solve the question is "do the Exploratory data analysis, visualization and prediction using the Python Libraries in Jupyter Notebook". In a report of exploratory data analysis which will include the following sections: 1. Introduction: Some background about your data 2. Research Questions: What are the questions you tried to answer for data analysis 3. Data Preprocessing and Cleaning 4. Different Feature Extractions 5. Various Types of REPRESENTATION of different variables 6. Answers of your research questions 7. Prediction if you have prediction 8. Conclusio
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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I am providing a dataset to you. By following the dataset name is "Heart Attack Analysis & Prediction Dataset"
Need to solve the question is "do the Exploratory data analysis, visualization and prediction using the Python Libraries in Jupyter Notebook".
In a report of exploratory data analysis which will include the following sections:
1. Introduction: Some background about your data
2. Research Questions: What are the questions you tried to answer for data analysis
3. Data Preprocessing and Cleaning
4. Different Feature Extractions
5. Various Types of REPRESENTATION of different variables
6. Answers of your research questions
7. Prediction if you have prediction
8. Conclusion
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