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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 different methods for handling missing data in datasets?
RELATED INTERVIEW QUESTIONS
How would you implement a recommendation system for e-commerce websites?
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
What is data anonymization, and why is it essential in data analytics?
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you handle outliers in time-series data?
Explain the concept of bias-variance tradeoff in machine learning.
How do you handle textual data when working with machine learning models?
What is the difference between segmentation and clustering in data analytics?
Explain the difference between supervised and unsupervised learning with examples.
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How would you optimize the performance of a recommendation system for personalized product suggestions?
What is Gaussian Naive Bayes, and when would you use it in classification?
How do you perform unsupervised learning for customer segmentation?
How do you ensure that your machine learning model generalizes well on unseen data?
Explain how you would approach feature engineering for a time-series dataset.
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