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Answer: Exploratory data analysis
The company is in the **Exploratory Data Analysis (EDA)** stage because: 1. **Creating a correlation matrix** - This helps understand relationships between variables 2. **Calculating statistics** - This involves descriptive statistics to understand data distribution 3. **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.
Author: Ritesh Yadav
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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?
A
Data pre-processing
B
Feature engineering
C
Exploratory data analysis
D
Hyperparameter tuning
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