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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the key differences between machine learning and deep learning models?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and why is it important in data analytics?
What is the importance of model interpretability in real-world data analytics applications?
How do you perform feature engineering in time-series data?
What is the learning rate in deep learning, and how do you optimize it?
Explain how you would deal with missing data in a large dataset.
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How do you assess model accuracy when working with time-series data?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you deal with skewed data in regression models?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you ensure that a machine learning model is interpretable for non-technical stakeholders?
What is the difference between classification and regression problems in machine learning?
What are the key differences between supervised and unsupervised learning in data analytics?
Explain the difference between supervised and unsupervised learning with examples.
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