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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and why is it important in data analytics?
How do you apply gradient descent in training deep neural networks?
How would you assess the performance of a machine learning model over time?
How do you optimize the performance of an algorithm when the dataset size is enormous?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
How would you analyze customer churn using data analytics?
What is the role of data imputation in handling missing data?
What is feature selection, and how does it impact the model’s performance?
What are autoencoders, and how are they used in unsupervised learning tasks?
Explain how you would approach feature engineering for a time-series dataset.
How do you handle a large dataset that does not fit into memory?
Explain how you would deal with missing data in a large dataset.
What is the importance of model interpretability in real-world data analytics applications?
What is AdaBoost, and how does it improve the performance of weak learners?
What is the K-nearest neighbors algorithm, and when would you use it?
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