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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the common pitfalls when working with real-time data in analytics?
RELATED INTERVIEW QUESTIONS
How would you deal with multicollinearity in a regression analysis?
What are the steps involved in building a recommendation system for e-commerce?
How do you perform root cause analysis using data analytics in business?
What is the concept of feature extraction in computer vision?
How do you decide whether to use a parametric or non-parametric statistical method?
Explain the difference between supervised and unsupervised learning with examples.
What is the difference between classification and regression problems in analytics?
Explain the concept of Markov Chains and its use in data modeling.
Explain how an ensemble learning method like Random Forest improves model performance.
Explain how backpropagation works in training neural networks.
How do you deal with large-scale, unstructured data in text analytics?
How do you deal with temporal dependencies in time-series forecasting?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is the curse of dimensionality, and how does it impact data analysis?
How do you use clustering for market segmentation in customer analytics?
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