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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 advantages and disadvantages of using deep learning for structured data analysis?
RELATED INTERVIEW QUESTIONS
How do you perform outlier detection using machine learning techniques?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you balance the trade-off between bias and variance in machine learning?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How does the k-means clustering algorithm work and when should it be used?
How does regularization help to reduce overfitting in machine learning models?
How do you choose the best machine learning algorithm for a given dataset?
How do support vector machines (SVM) work, and why are they used in classification problems?
What is the role of data normalization in machine learning?
What is the difference between segmentation and clustering in data analytics?
What is overfitting, and how can it be avoided using regularization techniques?
How would you assess the performance of a machine learning model over time?
What is the importance of model validation and how do you perform it in practice?
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