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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the advantages and disadvantages of using deep learning for structured data analysis?
RELATED INTERVIEW QUESTIONS
How do you use SQL joins in data analytics to integrate data from multiple sources?
Explain how principal component analysis (PCA) works for dimensionality reduction.
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you apply data augmentation in deep learning for image processing?
How would you deal with multicollinearity in a regression analysis?
What is the concept of Feature Extraction in computer vision analytics?
How do you optimize an ML model when the dataset is imbalanced?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What is the role of data normalization in machine learning?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
What is the difference between deterministic and stochastic models in analytics?
What is the curse of dimensionality and how does it affect machine learning models?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
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