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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 tuning in machine learning, and how do you apply it to hyperparameters?
RELATED INTERVIEW QUESTIONS
Explain the concept of data wrangling and its importance in data analytics.
What is the role of Natural Language Processing (NLP) in data analytics?
What is Boosting in machine learning, and how does it work?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
How do you use time-series decomposition to analyze seasonal trends?
How do you optimize the performance of an algorithm when the dataset size is enormous?
What are convolutional neural networks (CNN) used for in image recognition?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you address skewed data distributions in machine learning models?
How would you evaluate model performance in an imbalanced dataset problem?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
What is a confusion matrix, and how do you calculate its various metrics?
What is the curse of dimensionality, and how does it impact data analysis?
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