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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How do support vector machines (SVM) work, and why are they used in classification problems?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
How do you assess the impact of outliers in your data and model predictions?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
How would you implement a recommendation system for e-commerce websites?
What is Principal Component Analysis (PCA) used for in data reduction?
What is reinforcement learning, and where is it applied in business analytics?
What is model drift, and how can it affect predictive analytics models?
Explain the difference between supervised and unsupervised learning with examples.
What are autoencoders, and how are they used in unsupervised learning tasks?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
Explain the concept of ensemble learning and its applications in classification and regression problems.
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
How would you evaluate and select the best machine learning model for a specific use case?
How do you ensure that your machine learning model generalizes well on unseen data?
What are the advantages of using XGBoost over other machine learning algorithms?
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