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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 primary steps involved in preparing data for a machine learning model?
RELATED INTERVIEW QUESTIONS
How do you handle imbalanced datasets in classification models?
How do you ensure that your analysis is unbiased when working with large datasets?
How do you handle multicollinearity in regression models?
What are the most important performance metrics for classification models?
What are the main differences between batch processing and real-time processing in data analytics?
What is the role of deep learning in modern analytics and business decision-making?
What is Collaborative Filtering, and how is it used in building recommendation systems?
What is the difference between classification and regression problems in analytics?
Explain the concept of reinforcement learning and its applications in analytics.
How do you use data augmentation to improve a deep learning model’s performance?
What is the difference between bagging and boosting, and how do they impact model performance and accuracy?
How do you identify and resolve data leakage in machine learning models?
What are the types of biases in data analysis and how can they be minimized?
How do you interpret the results of cluster analysis in market research?
How would you optimize the performance of a recommendation system for personalized product suggestions?
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