👉✔️Here are Data Analytics-related questions along with their answers:

1.Question: What is the purpose of exploratory data analysis (EDA)?

Answer: EDA is used to analyze and summarize data sets, often through visual methods, to understand patterns, relationships, and potential outliers.

2. Question: What is the difference between supervised and unsupervised learning?

Answer: Supervised learning involves training a model on a labeled dataset, while unsupervised learning deals with unlabeled data to discover patterns without explicit guidance.

3.Question: Explain the concept of normalization in the context of data preprocessing.

Answer: Normalization scales numeric features to a standard range, preventing certain features from dominating due to their larger scales.

4. Question: What is the purpose of a correlation coefficient in statistics?

Answer: A correlation coefficient measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

5. Question: What is the role of a decision tree in machine learning?

Answer: A decision tree is a predictive model that maps features to outcomes by recursively splitting data based on feature conditions.

6. Question: Define precision and recall in the context of classification models.

Answer: Precision is the ratio of correctly predicted positive observations to the total predicted positives, while recall is the ratio of correctly predicted positive observations to all actual positives.

7. Question: What is the purpose of cross-validation in machine learning?

Answer: Cross-validation assesses a model's performance by dividing the dataset into multiple subsets, training the model on some, and testing it on others, helping to evaluate its generalization ability.

8. Question: Explain the concept of a data warehouse.

Answer: A data warehouse is a centralized repository that stores, integrates, and manages large volumes of data from different sources, providing a unified view for analysis and reporting.

9. Question: What is the difference between structured and unstructured data?

Answer: Structured data is organized and easily searchable (e.g., databases), while unstructured data lacks a predefined structure (e.g., text documents, images).

10. Question: What is clustering in machine learning?

Answer: Clustering is a technique that groups similar data points together based on certain features, helping to identify patterns or relationships within the data.