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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you handle an imbalanced dataset in a classification problem?
RELATED INTERVIEW QUESTIONS
Explain how principal component analysis (PCA) works for dimensionality reduction.
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you evaluate the stability of a clustering algorithm over different datasets?
How do you use SQL to perform data manipulation and aggregation in an analytics project?
What is tuning in machine learning, and how do you apply it to hyperparameters?
How do support vector machines (SVM) work, and why are they used in classification problems?
How do you perform dimensionality reduction, and why is it essential in machine learning?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
How would you apply cross-validation to avoid overfitting in a machine learning model?
What is the difference between deterministic and stochastic models in analytics?
Explain the concept of a data pipeline and its components in an analytics workflow.
What are the best practices to ensure model interpretability and explainability?
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you assess the impact of outliers in your data and model predictions?
How do you perform outlier detection in data analytics?
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