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HTML
CSS
Python
PHP
MySQL
Linux
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
What is the role of deep learning in modern analytics and business decision-making?
How do you optimize an ML model when the dataset is imbalanced?
What is data normalization, and why is it important in machine learning?
What is XGBoost, and how does it differ from other boosting algorithms?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is overfitting, and how can it be avoided using regularization techniques?
How do you handle imbalanced datasets in classification models?
How do you deal with temporal dependencies in time-series forecasting?
How would you apply cross-validation techniques in a deep learning model?
How do you evaluate the performance of clustering algorithms, and what metrics would you use?
How do you handle a large dataset that does not fit into memory?
How do you use data augmentation to improve a deep learning model’s performance?
How does deep reinforcement learning work, and where can it be applied in business analytics?
What is the role of unsupervised learning in data clustering?
What are support vector machines (SVM) and how do they classify data?
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