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1. What problems can NLP solve?NLP can solve many problems like, automatic summarization, machine translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation etc.2. What are the common patterns used in regular expression?  \w+ ...

What is tf-idf? Term frequency and inverse document frequency. It is to remove the most common words other than stop words which are there in a particular document, so this is document specific.

Linear Regression is one of simplest, basic algorithm you would wish to start your learning with. But let me remind you, the concept of linear regression is with us way before machine learning and AI caught our attention! ...

To understand the performance of a model you need to start with Confusion matrix. If you have escaped it below, then you can go through it again. A confusion matrix is a summary of prediction ...

Feature Engineering is one place where you have to put in a lot of efforts. In the beginning of any project, you will have very less data, but then you need to dig in and torture the data ...

Suppose you have 1000 rows of data and you want to make a model to predict whether a person is suffering from Thyroid. There are 15 columns with 15th one being a binary variable of 0(Normal) and 1 ...

window.dojoRequire(["mojo/signup-forms/Loader"], function(L) { L.start({"baseUrl":"mc.us17.list-manage.com","uuid":"e278f0e036c94ada952fffdf7","lid":"91b05372c4","uniqueMethods":true}) }) The word "Supervised" means monitoring. A supervised learning algorithm is one in which you train a data set on output and then the model takes up these ...

Big Data, Machine Learning, Artificial Intelligence, etc. If you are regular with news, then you must have heard a lot about these words. Let's try to understand things with examplesWhat is Big Data?In 1990s the size of data ...