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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
What is the difference between classification and regression problems in machine learning?
RELATED INTERVIEW QUESTIONS
Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you use clustering for market segmentation in customer analytics?
What is the importance of data cleaning in data analytics, and what techniques would you use?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
Explain the concept of a data pipeline and its components in an analytics workflow.
What is the concept of feature extraction in computer vision?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How do you handle multivariate time series data for forecasting?
What is the difference between regression and classification models in machine learning?
How do you assess the impact of outliers in your data and model predictions?
How do you ensure that your data pipeline is scalable for large datasets?
How do you measure the generalization error of a machine learning model?
How do you deal with temporal dependencies in time-series forecasting?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How does feature scaling improve the convergence of gradient descent algorithms?
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