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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
RELATED INTERVIEW QUESTIONS
How do you ensure that your analysis is unbiased when working with large datasets?
What is recurrent neural network (RNN), and how is it different from traditional neural networks? In what kind of problems would you apply
What is the significance of the ROC-AUC score in evaluating classification models?
What is Bagging in machine learning, and how does it reduce overfitting?
What is the significance of A/B testing in optimizing data-driven decisions?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What is the concept of Feature Extraction in computer vision analytics?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
How do you perform feature scaling, and what are its benefits in machine learning?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What is the role of cloud computing in enabling data analytics at scale?
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