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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 data anonymization, and why is it essential in data analytics?
RELATED INTERVIEW QUESTIONS
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What is the difference between regression and classification models in machine learning?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is the significance of hyperparameter tuning in optimizing machine learning models?
How do you assess model accuracy when working with time-series data?
What is the difference between classification and regression problems in machine learning?
Explain the concept of hyperparameter tuning and its role in model optimization.
What is the role of deep learning in modern analytics and business decision-making?
How does deep reinforcement learning work, and where can it be applied in business analytics?
What are the different types of machine learning models used for predictive analytics?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
How would you handle noisy data when training a machine learning model?
What are LSTM networks, and how are they used in sequence prediction tasks?
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