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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 the confusion matrix, and how does it help evaluate classification models?
RELATED INTERVIEW QUESTIONS
What are gradient descent and its variants, and how are they used in machine learning?
Explain the difference between data mining and data analytics.
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
How would you implement a recommendation engine for movies using collaborative filtering?
What are support vector machines (SVM) and how do they classify data?
Explain how you would deal with missing data in a large dataset.
What is the importance of using dropout in deep learning models?
What is XGBoost, and how does it differ from other boosting algorithms?
What is overfitting, and how can it be avoided using regularization techniques?
Explain the concept of reinforcement learning and its applications in analytics.
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What is tuning in machine learning, and how do you apply it to hyperparameters?
How does feature scaling improve the convergence of gradient descent algorithms?
What are decision trees, and how are they used in classification tasks?
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