DATA SCIENCE

 

 

Data Collection: Gathering data from various sources, such as databases, APIs, or web scraping.

 

Data Cleaning: Preparing the data for analysis by removing errors, handling missing values, and ensuring consistency.

 

Exploratory Data Analysis (EDA): Analyzing the data to discover patterns, trends, and relationships through visualization and summary statistics.

 

 

 

Evaluation: Assessing the performance of models using metrics like accuracy, precision, and recall.

 

 

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