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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are gradient descent and its variants, and how are they used in machine learning?
RELATED INTERVIEW QUESTIONS
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
What is an anomaly detection system, and how would you implement it in Python?
How do you ensure reproducibility in your data analysis pipelines?
What is the role of data enrichment in data analytics, and how is it achieved?
Explain how latent variable models work in data analytics.
What is ensemble learning, and why is it useful in machine learning?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is the difference between classification and regression problems in analytics?
Explain the concept of hyperparameter tuning and its role in model optimization.
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
Explain the role of backpropagation in training neural networks.
What is feature selection, and how does it impact the model’s performance?
How do you use decision trees for feature selection in machine learning?
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