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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 seasonality in a time-series forecasting problem?
RELATED INTERVIEW QUESTIONS
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is time-series forecasting, and how do you handle seasonality in models?
What is the importance of data preprocessing in machine learning, and what steps are involved?
What is multi-objective optimization, and how does it differ from single-objective optimization?
What is the difference between classification and regression problems in analytics?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
What are the key differences between a decision tree and a random forest?
What is the difference between batch normalization and layer normalization in deep learning?
Explain the importance of hyperparameter tuning in improving machine learning models.
How do you handle and process categorical data in machine learning algorithms?
How do you implement feature selection techniques for high-dimensional data?
What is the role of feature scaling in improving machine learning model accuracy?
What are the benefits of using cloud analytics over on-premise solutions?
What is the accuracy paradox and how does it affect model evaluation?
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