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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the primary steps involved in preparing data for a machine learning model?
RELATED INTERVIEW QUESTIONS
What is the role of cloud computing in enabling data analytics at scale?
What are the different types of feature engineering methods and how do they impact model performance?
Explain the concept of data wrangling and its importance in data analytics.
What is overfitting, and how can it be avoided using regularization techniques?
What is data normalization, and why is it important in machine learning?
What is the bootstrap method, and how is it used for confidence interval estimation?
What are the key differences between machine learning and deep learning models?
Explain the role of backpropagation in training neural networks.
What is transfer learning, and how is it useful in deep learning?
What are semantic networks, and how are they used in knowledge extraction from text?
What are the different methods for handling missing data in datasets?
What are the advantages of support vector machines (SVM) in classification tasks?
How do you prevent model bias in machine learning algorithms?
How do you perform feature engineering in time-series data?
What is the difference between batch normalization and layer normalization in deep learning?
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