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Get better with each session of Data Science Training. Talk and understand the language of data and communicate your findings with different techniques and tools that you will gain expertise with the help of this online Data Science Training.

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What is bias-variance trade-off?

Bias points to the contrast between the qualities anticipated by the model and the genuine qualities. It is a mistake. One of the objectives of a ML…

Data Science

1 Answer · 1.5K Views · Answered ✓

Asked by: Jefferey Burgher · 6 years ago

How do you interpret a linear regression model?

A linear regression model is very easy to interpret. The linear model form is given below:The significance of linear models lies in the way that one…

Data Science

2 Answers · 1.5K Views · Answered ✓

Asked by: Sherly Montejano · 6 years ago

Is POS tagging supervised or unsupervised?

POS tagging can be either supervised or unsupervised based on the condition. A supervised tagger depends on a tagged set of words that creates a…

Data Science

2 Answers · 1.8K Views · Answered ✓

Asked by: Nakano Hase · 6 years ago

Explain POS tagging

It is a process of giving a meaning to a word by building a corpus of words and providing a particular part of speech tag which they belong. Not only…

Data Science

2 Answers · 1.6K Views · Answered ✓

Asked by: Nakagawa Harada · 6 years ago

How to implement a bi-gram in python?

Bi-grams are a sequence of two words in a sentence and there is no hard and fast rule to implement the same. We will be using list comprehension and…

Data Science · Pythons

1 Answer · 1.2K Views · Answered ✓

Asked by: Coleman Garvin · 6 years ago

How to implement Porter Stemmer in Python?

Porter steamer can be used in Python by implementing either knelt or Spacey or any other text processing libraries. In this case we will be using…

Data Science · Natural Language Processing

1 Answer · 2.2K Views · Answered ✓

Asked by: Miura Baba · 6 years ago

Explain lemmatization.

In contrast to stemming, lemmatization looks beyond word reduction, and considers a language’s full vocabulary to apply a morphological analysis to…

Data Science · Natural Language Processing

2 Answers · 1.4K Views · Answered ✓

Asked by: Nakano Hase · 6 years ago

Differentiate term frequency from inverse document frequency matrix.

In term frequency matrix, it finds out the relevance of words present in a document. It assumes the more frequently the word appears in a document,…

Data Science · Natural Language Processing

1 Answer · 1.5K Views · Answered ✓

Asked by: Fukuda Ashikaga · 6 years ago

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