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A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data. Which stage of the ML pipeline is the company currently in?
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RRitesh
Explanation:
The company is in the Exploratory Data Analysis (EDA) stage because:
- Creating a correlation matrix - This helps understand relationships between variables
- Calculating statistics - This involves descriptive statistics to understand data distribution
- Visualizing the data - This helps identify patterns, outliers, and trends
Key distinctions:
- Data pre-processing involves cleaning, transforming, and preparing data (handling missing values, normalization, etc.)
- Feature engineering involves creating new features from existing data
- Hyperparameter tuning occurs during model training to optimize performance
EDA is the initial analysis phase where you explore and understand the data before moving to preprocessing and modeling.
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