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## NLP Interview Questions

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+ ...

## TF-IDF and Word correlation

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.

## Natural Language Processing in Python? What and Hows about NLP

NLP stands for Natural Language Processing which is a subdomain of Data Science and it helps you in extracting insights from organized or un-organized data.Have you ever wondered how a chatbot interacts with you so efficiently that half ...

## Understanding Linear Regression

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! ...

## How to calculate the performance of your model?

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 ...

## Before you start Modeling – Feature Engineering

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 ...

## What are training and test datasets?

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 ...

## Flipkart Interview Questions

Position – Data ScientistLocation – BangaloreNumber of Rounds – 5 Round 1 - Aptitude and Logical ReasoningRound 2 - Case Study (Non-Elimination Round)Round 3 – Technical Interview  SQL and PythonRound 4 – Project discussionRound 5 - Human ResourceRound ...

## Supply Chain Analytics in Python

Let’s take a case study of Supply Chain optimization. There is a Restaurant which serves Mega Pizza (40”).  It has one oven, 3 bakers, and 1 packer. Following is the time required by each Pizz ...

## Supervised Learning Overview

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 ...