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Neha Tambe

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Active in: Data Science Java Python
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Working with a List of Lists in Java

Working with a List of Lists in Java involves using nested List objects, where each element of the outer list is itself a list. This is useful for representing multi-dimensional data structures, such as tables or matrices. Here’s how you can work with a List of Lists in Java: Declare a List of Lists: To declare a List…

Java

Answered Apr 29, 2025 · 1.0K Views Read answer →

What are JAVA RAM Arguments?

Before you allocate RAM there are some things you should know regarding Java RAM arguments : x64 systems can allocate up to 192GB when using Windows Professional or above. 16GB when using Windows Home Premium and 8GB when using Home Premium and Starter. Also, please be aware of the physical limits imposed by your CPU…

Java

Answered Oct 12, 2022 · 998 Views Read answer →

Python pandas: TypeError: tuple indices must be integers or slices, not str

The typeerror: tuple indices must be integers or slices, not str error comes when you can't get row information using row["pool_number"]. You should simply use this method to retrieve the value by index number: row_name[0] Hope this answer helps you! Thus, Linear Regression and Machine Learning Course, both are…

Python

Answered Mar 10, 2021 · 4.5K Views Read answer →

Explain the steps required before text classification?

Before classification of text data, a text needs to be cleaned by following preprocessing steps Lowercasing Lowercasing is one of the simplest and most effective form of text preprocessing. It is applicable to most text mining and NLP problems and can help in cases where the dataset is not very large and significantly…

Data Science

Answered Dec 26, 2019 · 1.1K Views Read answer →

How random and stratified splitting differ from each other?

Random splitting is a splitting technique which splits the data based on a ratio by selecting random attributes irrespective of the classes. In such cases, an algorithm can choose the majority of the attributes from a single class which can lead to problems in accuracy and can give rise to a problem such as…

Data Science

Answered Nov 30, 2019 · 1.0K Views Read answer →

How to deal with categorical variables in Python?

Categorical variables are discrete variables present in a data which are needed to be converted into a continuous variable. Now continuous variables can be a number in ordered form but in some cases, this type of encoding may cause ordinality issues. For example, if a column contains the names of countries like India…

Data Science

Answered Nov 30, 2019 · 1.1K Views Read answer →

What is tokenization and how does it works?

Tokenization is the process of breaking up the original text into component pieces which are known as tokens. Tokens have a variety of useful attributes and methods. One of the important things to know that they are pieces of the original text and they are not converted to the base words which in case happens with…

Data Science

Answered Nov 27, 2019 · 974 Views Read answer →

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