Advanced Data Analytics Techniques

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1. 1

   Which of the following methods is used for dimensionality reduction?

   A Linear Regression B Principal Component Analysis C K-means Clustering
2. 2

   What is the purpose of cross-validation in machine learning?

   A To train the model with unobserved data B To decrease the testing dataset size C To assess the model's ability to generalize
3. 3

   Which algorithm is typically used for anomaly detection?

   A Isolation Forest B Random Forest C Naive Bayes
4. 4

   How does the k-nearest neighbors algorithm determine similarity?

   A By using a decision tree B By analyzing data distribution C By calculating the distance between points
5. 5

   Which of these is a supervised learning algorithm?

   A K-means B Support Vector Machines C Apriori Algorithm
6. 6

   In time series analysis, what is seasonality?

   A Regular patterns recurring within specific intervals B Data points showing long-term deflection C A period without any observed trend
7. 7

   Which of the following statements best describes overfitting?

   A The model performs well on training data but poorly on new data B The model shows high bias and low variance C The model requires less data to train effectively
8. 8

   What is the main goal of clustering in data analytics?

   A To classify data points into predefined categories B To increase data variability C To segment data into groups based on similarity
9. 9

   What does the elbow method determine in K-means clustering?

   A The optimal distance metric B The optimal number of clusters C The least variance among clusters
10. 10

    Which feature selection technique is used to reduce multicollinearity?

    A Lasso Regression B Decision Tree C K-Nearest Neighbors