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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 data normalization, and why is it important in machine learning?
RELATED INTERVIEW QUESTIONS
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you detect data imbalances in a classification problem and address them?
How do you perform feature engineering in time-series data?
What is Collaborative Filtering, and how is it used in building recommendation systems?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is reinforcement learning, and where is it applied in business analytics?
What is Principal Component Analysis (PCA) used for in data reduction?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What are the benefits of using cloud analytics over on-premise solutions?
How do you use SQL to perform data manipulation and aggregation in an analytics project?
What are the limitations of using random forests for classification tasks?
What are some effective techniques for handling missing values in large datasets?
How would you use cluster analysis for market segmentation?
What are the ethical considerations when analyzing customer data in analytics?
What is the difference between KNN and SVM in classification tasks?
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