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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 active learning methods, and when would you apply them in data analytics?
RELATED INTERVIEW QUESTIONS
What is the role of data enrichment in data analytics, and how is it achieved?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What is the difference between segmentation and clustering in data analytics?
How would you implement real-time data analytics for fraud detection?
What is an anomaly detection system, and how would you implement it in Python?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What is the significance of A/B testing in optimizing data-driven decisions?
How do you apply data augmentation in deep learning for image processing?
What is the role of deep learning in modern analytics and business decision-making?
How do you decide whether to use a parametric or non-parametric statistical method?
How would you perform real-time data analysis using Kafka and Spark?
How would you perform outlier detection using Isolation Forest?
How do you ensure that your machine learning model generalizes well on unseen data?
What are the limitations of using random forests for classification tasks?
What is feature importance, and how do you evaluate it for machine learning models?
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