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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
RELATED INTERVIEW QUESTIONS
What is the difference between classification and regression problems in machine learning?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What is the role of unsupervised learning in data clustering?
How do you analyze multi-class classification problems with machine learning?
How do support vector machines (SVM) work, and why are they used in classification problems?
Explain the difference between random forests and gradient boosting methods.
How do you deal with skewed data in regression models?
How do you optimize an ML model when the dataset is imbalanced?
Explain the Naive Bayes algorithm and its application in data analytics.
What is the role of feature scaling in improving machine learning model accuracy?
What is the concept of Feature Extraction in computer vision analytics?
How do you handle missing data in large datasets using imputation techniques?
How do you perform feature importance analysis for model interpretability?
What are the most important performance metrics for classification models?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
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