Quantiphi Analytics Solutions Private Limited Senior Machine Learning Engineer Interview Questions, Process, and Tips

k value in k means clustering represents the number of clusters to be formed in the data set.

• The k value is a hyperparameter that needs to be specified by the user before running the algorithm.

• It determines the number of centroids to be initialized in the data set.

• Choosing the right k value is crucial for the performance of the clustering algorithm.

• For example, if we set k=3 in k means clustering, the algorithm will tr

Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.

• Bagging (Bootstrap Aggregating) involves training multiple instances of the same model on different subsets of the training data and then averaging the predictions to reduce variance.

• Boosting involves training multiple weak learners sequentially, with each learner focusing...read more

pip freeze is a command in Python that lists all installed packages and their versions in a requirements.txt format.

• Used to freeze the current state of installed packages for reproducibility

• Helps in sharing the list of dependencies with others

• Commonly used in virtual environments

Tree boosted algorithms are ensemble learning methods that combine multiple decision trees to improve predictive accuracy.

• Tree boosted algorithms, such as Gradient Boosting and XGBoost, work by sequentially adding decision trees to correct the errors made by the previous trees.

• They are popular in machine learning competitions due to their high predictive accuracy and ability to handle complex relationships in data.

• Boos...read more