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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is linear programming, and how does it relate to data optimization problems?
RELATED INTERVIEW QUESTIONS
What are LSTM networks, and how are they used in sequence prediction tasks?
How do you handle heteroscedasticity in regression models?
What is the confusion matrix, and how does it help evaluate classification models?
How do you identify and resolve data leakage in machine learning models?
What are the limitations of using random forests for classification tasks?
What are convex optimization techniques, and why are they important in machine learning?
How do you perform A/B testing for evaluating the performance of a new marketing campaign?
What are the different types of feature engineering methods and how do they impact model performance?
Explain the importance of hyperparameter tuning in improving machine learning models.
Explain the difference between bagging and boosting techniques.
What is Collaborative Filtering, and how is it used in building recommendation systems?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
How do you handle high-dimensional data and reduce the risk of overfitting?
What are the key differences between supervised and unsupervised learning in data analytics?
What is the concept of Feature Extraction in computer vision analytics?
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