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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is tuning in machine learning, and how do you apply it to hyperparameters?
RELATED INTERVIEW QUESTIONS
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
What is the curse of dimensionality, and how does it impact data analysis?
What is the difference between classification and regression problems in analytics?
What is the importance of data preprocessing in machine learning, and what steps are involved?
What are convolutional neural networks (CNN) used for in image recognition?
What are active learning methods, and when would you apply them in data analytics?
What are the advantages of using deep learning over traditional machine learning in analytics?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What is the role of deep learning in modern analytics and business decision-making?
What is the difference between segmentation and clustering in data analytics?
What are the key differences between machine learning and deep learning models?
What are the limitations of using random forests for classification tasks?
Explain the concept of data wrangling and its importance in data analytics.
How does ensemble learning work, and when should it be applied?
How do you perform unsupervised learning for customer segmentation?
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