1	11
					2/13
3
					4
				5
			12
					6
					7
8
			9
		10

Across

1. Discovering interesting relationships or association patterns among a set of items in large datasets.

2. Cleaning and transforming raw data into a suitable format before performing analysis or mining.

3. A statistical method used to model binary outcomes by estimating the probability that a given outcome is present.

4. The automated recognition of patterns and regularities in data.

5. The process of choosing the most relevant input variables to be used in the predictive model.

6. A statistical method used to examine the relationship between one dependent variable and one or more independent variables.

7. A technique used to forecast future values based on past data points in time order.

8. A machine learning technique that combines multiple models to improve the overall performance and accuracy of the prediction.

9. An ensemble learning method that builds a model in a stage-wise manner, with each new model addressing the errors of the previous models.

10. The process of assessing the performance of the predictive model using validation data sets.

Down

11. A supervised machine learning algorithm that classifies data into different classes by finding the hyperplane that best separates the data points.

12. A non-parametric method used for classification and regression that classifies a data point based on the majority class of its k nearest neighbors.

13. The process of cleaning, transforming, and organizing data before building a predictive model.

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