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Data science involves using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Let's explore a simple example of data science in action: Predicting Disease Outbreaks.
Problem Statement
Predicting the outbreak of diseases like dengue, malaria, or COVID-19 based on historical data.
Solution Techniques
Data Collection
Historical Disease Data: Gather data on the number of reported cases, outbreak locations, and severity.
Weather Conditions: Collect data on temperature, humidity, rainfall, and other environmental factors influencing disease transmission.
Population Density: Obtain data on population demographics, density, and mobility.
Data Preprocessing
Data Cleaning: Handle missing values, outliers, and inconsistencies to ensure data quality.
Exploratory Data Analysis (EDA): Analyze data to identify patterns, correlations, and anomalies using statistical methods and visualization techniques.
Feature Selection
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