Gateway for Preparing Interviews
Differentiate between Boosting and Bagging? Bagging and Boosting are variants of Ensemble Techniques. Bootstrap Aggregation or bagging is a method that is used to reduce the variance for algorithms having very high variance. Decision trees are a particular family of classifiers which are susceptible to having high bias. Decision trees have a lot of sensitiveness to … Read more
What is a stream and what are the types of Streams and classes of the Streams A Stream is an abstraction that either produces or consumes information. There are two types of Streams and they are: Byte Streams: Provide a convenient means for handling input and output of bytes. Character Streams: Provide a convenient means … Read more
List out some of the best practices for data cleaning? Some of the best practices for data cleaning includes, Sort data by different attributes For large datasets cleanse it stepwise and improve the data with each step until you achieve a good data quality For large datasets, break them into small data. Working with less … Read more
Can you explain project life cycle? A project has distinct phases when the range of activities required to carry out the project work differ. There is a distinct “start” phase, followed by an organizing and preparing phase. “Carrying out” is the actual execution part of the project. “Closing” phase makes sure the temporary activities related … Read more
What are the types of Machine Learning? Machine Learning can be mainly divided into three types: Supervised Learning: Supervised learning is a type of Machine learning in which the machine needs external supervision to learn from data. The supervised learning models are trained using the labeled dataset. Regression and Classification are the two main problems that … Read more