DATA SCIENCE
Exploratory Data Analysis (EDA): Analyzing the data to discover patterns, trends, and relationships through visualization and summary statistics.
Modeling: Applying statistical and machine learning techniques to make predictions or classify data.
Evaluation: Assessing the performance of models using metrics like accuracy, precision, and recall.
Deployment: Implementing models in real-world applications, often through APIs or integrated software solutions.
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