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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 challenges of data visualization, and how do you overcome them?
RELATED INTERVIEW QUESTIONS
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What is data lineage, and how does it help in tracking data flow?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How would you handle seasonality in a time-series forecasting problem?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
How does ensemble learning work, and when should it be applied?
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
What is the difference between classification and regression problems in analytics?
How do you perform unsupervised learning for customer segmentation?
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What is the difference between KNN and SVM in classification tasks?
How do you apply gradient descent in training deep neural networks?
How would you perform data aggregation for summarizing large datasets?
What are the primary steps involved in preparing data for a machine learning model?
How do you detect data imbalances in a classification problem and address them?
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