AWS Certified Cloud Practitioner
Get started today
Ultimate access to all questions.
Deep dive into the quiz with AI chat providers.
We prepare a focused prompt with your quiz and certificate details so each AI can offer a more tailored, in-depth explanation.
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?
Exam-Like
Community
RRitesh
A
Data pre-processing
B
Feature engineering
C
Exploratory data analysis
D
Hyperparameter tuning
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.
Comments
Loading comments...