Supervised Learning Questions. This is the 4th part of the Supervised Learning Questions. Do go through the first 3 parts.Part 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 2 - https://thedatamonk.com/supervised-learning-interview-question/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/ 1.We will try to build a ...

Supervised Learning Data Science Questions. This is the third part of the series Supervised Learning Data Science Questions.Part 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 2-https://thedatamonk.com/supervised-learning-interview-question/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. What is Logistic Regression? Logistic Regression is a Machine Learning ...

Supervised Learning Interview Question. This is the 2nd part of the series Supervised Learning Interview QuestionPart 1-https://thedatamonk.com/supervised-learning-interview-questions/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. Let’s create our dataset first. We will create Thyroid data set ...

Supervised Learning Interview Questions.Below are some of the most asked and basic Supervised Learning Interview Questions. Do go through all the questionsPart 2-https://thedatamonk.com/supervised-learning-interview-question/Part 3- https://thedatamonk.com/supervised-learning-data-science-questions/Part 4-https://thedatamonk.com/supervised-learning-questions/ 1. What is Machine Learning ?a. ...

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 ...