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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the challenges in analyzing big data, and how do you mitigate them?
RELATED INTERVIEW QUESTIONS
What is a confusion matrix, and how do you calculate its various metrics?
What is the role of data governance in an organization’s analytics framework?
Explain how you would approach feature engineering for a time-series dataset.
What are the primary steps involved in preparing data for a machine learning model?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How do you ensure that your analysis is unbiased when working with large datasets?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What are the benefits of using cloud analytics over on-premise solutions?
Explain how overfitting and underfitting affect the performance of a machine learning model.
What is gradient boosting and why is it more effective than traditional decision trees?
How would you handle an imbalanced dataset in a classification problem?
What is overfitting, and how can it be avoided using regularization techniques?
What is the importance of heteroscedasticity in regression models?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is dimensionality reduction, and why is it important in data analytics?
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