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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you choose the best machine learning algorithm for a given dataset?
RELATED INTERVIEW QUESTIONS
How does the Elbow Method help in determining the number of clusters in K-Means clustering?
What is the role of natural language processing in analyzing customer feedback?
What is tuning in machine learning, and how do you apply it to hyperparameters?
How do you balance the trade-off between bias and variance in machine learning?
How do you perform outlier detection in data analytics?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is the difference between KNN and SVM in classification tasks?
How would you implement real-time data analytics for fraud detection?
How do you handle high-dimensional data and reduce the risk of overfitting?
What are autoencoders, and how are they used in unsupervised learning tasks?
How do you deal with class imbalance in classification models?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
How would you use cluster analysis for market segmentation?
What are the differences between Ridge and Lasso regression?
What are the advantages of using XGBoost over other machine learning algorithms?
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