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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 primary steps involved in preparing data for a machine learning model?
RELATED INTERVIEW QUESTIONS
What are the differences between LSTM and GRU networks in deep learning?
What is the role of data imputation in handling missing data?
What are the primary steps involved in preparing data for a machine learning model?
How do you handle outliers in time-series data?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
How do you handle unstructured data in analytics models?
What is the importance of model interpretability in real-world data analytics applications?
What are LSTM networks, and how do they handle sequential data?
What are support vector machines (SVM) and how do they classify data?
Explain how hyperparameter optimization improves machine learning model performance.
Explain the concept of model overfitting and how can it be mitigated.
How do you handle categorical data in machine learning models?
How do you perform feature engineering in time-series data?
What are the differences between logistic regression and linear regression?
How do you decide whether to use a parametric or non-parametric statistical method?
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