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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle outliers in time-series data?
RELATED INTERVIEW QUESTIONS
How do you handle high-dimensional data and reduce the risk of overfitting?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
How would you implement real-time data analytics for fraud detection?
What is transfer learning, and how is it useful in deep learning?
What is the importance of model interpretability in real-world data analytics applications?
How do you detect data imbalances in a classification problem and address them?
How do you analyze multi-class classification problems with machine learning?
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is the difference between KNN and SVM in classification tasks?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
Explain the concept of bias-variance tradeoff in machine learning.
How do you optimize an ML model when the dataset is imbalanced?
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