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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is regression analysis, and how do you apply it in business analytics?
RELATED INTERVIEW QUESTIONS
How would you apply cross-validation to avoid overfitting in a machine learning model?
What is data anonymization, and why is it essential in data analytics?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is the role of data normalization in machine learning?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What is tuning in machine learning, and how do you apply it to hyperparameters?
How do you deal with large-scale, unstructured data in text analytics?
What is data normalization, and why is it important in machine learning?
What are the common types of clustering algorithms, and how do you choose between them?
Explain how principal component analysis (PCA) works for dimensionality reduction.
Explain how you would deal with missing data in a large dataset.
What is time-series forecasting, and how do you handle seasonality in models?
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
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