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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is Principal Component Analysis (PCA) used for in data reduction?
RELATED INTERVIEW QUESTIONS
How would you visualize high-dimensional data using dimensionality reduction techniques?
How do you optimize model performance in an unsupervised learning task?
How does deep reinforcement learning work, and where can it be applied in business analytics?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
How does feature scaling improve the convergence of gradient descent algorithms?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What are decision trees, and how are they used in classification tasks?
How would you implement Text Classification using machine learning algorithms?
What are gradient descent and its variants, and how are they used in machine learning?
What is multi-objective optimization, and how does it differ from single-objective optimization?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
How do you handle multivariate time series data for forecasting?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What are LSTM networks, and how do they handle sequential data?
What is XGBoost, and how does it differ from other boosting algorithms?
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