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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the difference between KNN and SVM in classification tasks?
RELATED INTERVIEW QUESTIONS
What is the importance of model interpretability in real-world data analytics applications?
How do you use bootstrapping in model evaluation, and what are its advantages?
How would you measure the impact of an analytics model in a business setting?
How do you handle high-dimensional data and reduce the risk of overfitting?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are the different methods for handling missing data in datasets?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you handle outliers in time-series data?
What is the role of deep learning in modern analytics and business decision-making?
What is the curse of dimensionality and how does it affect machine learning models?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What are deep learning and its key differences from traditional machine learning methods?
How do you select the best machine learning model for a given dataset?
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