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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
RELATED INTERVIEW QUESTIONS
How do you select the best machine learning model for a given dataset?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What is linear programming, and how does it relate to data optimization problems?
What is the learning rate in deep learning, and how do you optimize it?
Explain how backpropagation works in training neural networks.
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
What is the role of cloud computing in enabling data analytics at scale?
What are the limitations of using random forests for classification tasks?
What is feature importance, and how do you evaluate it for machine learning models?
What are the differences between LSTM and GRU networks in deep learning?
What is the role of data imputation in handling missing data?
What are the challenges of data visualization, and how do you overcome them?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is Bagging in machine learning, and how does it reduce overfitting?
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