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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are some effective techniques for handling missing values in large datasets?
RELATED INTERVIEW QUESTIONS
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How would you handle seasonality in a time-series forecasting problem?
Explain the concept of a data pipeline and its components in an analytics workflow.
Explain how you would approach feature engineering for a time-series dataset.
What are the differences between LSTM and GRU networks in deep learning?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is Collaborative Filtering, and how is it used in building recommendation systems?
How do you select the best machine learning model for a given dataset?
What are active learning methods, and when would you apply them in data analytics?
How does data governance ensure the quality and security of your analytics outputs?
What is the role of unsupervised learning in anomaly detection?
What are autoencoders, and how are they used in unsupervised learning tasks?
What is the difference between classification and regression problems in analytics?
How does dimensionality reduction improve the performance of machine learning algorithms?
How do support vector machines (SVM) work, and why are they used in classification problems?
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