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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do support vector machines (SVM) work, and why are they used in classification problems?
RELATED INTERVIEW QUESTIONS
What are convex optimization techniques, and why are they important in machine learning?
What is the role of cloud computing in enabling data analytics at scale?
What is Boosting in machine learning, and how does it work?
What is the bootstrap method, and how is it used for confidence interval estimation?
How do you deal with temporal dependencies in time-series forecasting?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
Explain the concept of model overfitting and how can it be mitigated.
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
How would you evaluate and select the best machine learning model for a specific use case?
What is tuning in machine learning, and how do you apply it to hyperparameters?
Explain the difference between bagging and boosting techniques.
How would you implement a recommendation system for e-commerce websites?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
Explain the concept of Markov Chains and its use in data modeling.
How do you handle high-cardinality categorical features in machine learning models?
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