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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 types of biases in data analysis and how can they be minimized?
RELATED INTERVIEW QUESTIONS
Explain the difference between data mining and data analytics.
What is the difference between segmentation and clustering in data analytics?
How do you implement feature selection techniques for high-dimensional data?
Explain the difference between supervised and unsupervised learning with examples.
What is the importance of data privacy in analytics, and how do you ensure compliance?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
What are the key differences between supervised and unsupervised learning in data analytics?
What is transfer learning, and how is it useful in deep learning?
What are time-series cross-validation techniques, and how are they applied in forecasting?
What is the confusion matrix, and how does it help evaluate classification models?
How do you deal with temporal dependencies in time-series forecasting?
What is the role of visualization in data analysis, and which Python libraries would you use?
What is the difference between classification and regression problems in machine learning?
How do you handle and process categorical data in machine learning algorithms?
What is the bootstrap method, and how is it used for confidence interval estimation?
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