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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How does deep reinforcement learning work, and where can it be applied in business analytics?
RELATED INTERVIEW QUESTIONS
What is the importance of model validation and how do you perform it in practice?
What are decision trees, and how are they used in classification tasks?
How do you evaluate the predictive accuracy of a machine learning model?
What is causal inference, and how does it differ from correlation analysis?
How do you optimize the performance of an algorithm when the dataset size is enormous?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What are the limitations of using random forests for classification tasks?
What is multi-objective optimization, and how does it differ from single-objective optimization?
What is the role of visualization in data analysis, and which Python libraries would you use?
Explain the concept of data wrangling and its importance in data analytics.
How do you prevent model bias in machine learning algorithms?
Explain the difference between bagging and boosting techniques.
What are the differences between Ridge and Lasso regression?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
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