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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 the importance of data cleaning in data analytics, and what techniques would you use?
RELATED INTERVIEW QUESTIONS
What are the common types of clustering algorithms, and how do you choose between them?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the role of cloud computing in enabling data analytics at scale?
What is dimensionality reduction, and why is it important in data analytics?
Explain how overfitting and underfitting affect the performance of a machine learning model.
Explain how principal component analysis (PCA) works for dimensionality reduction.
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
How do you perform feature scaling, and what are its benefits in machine learning?
Explain how you would approach feature engineering for a time-series dataset.
What is Principal Component Analysis (PCA) used for in data reduction?
Explain the concept of Markov Chains and its use in data modeling.
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What is the difference between parametric and non-parametric tests in hypothesis testing?
What are the ethical considerations when analyzing customer data in analytics?
How does dimensionality reduction improve the performance of machine learning algorithms?
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