Before you go out in the job market and start taking data science interviews. There is some basic ground you must cover, otherwise you will be caught off guard or get rejected for so silly things that you might regret later on!
Important Unsupervised machine learning algorithms which are asked in the data science interviews.
Popular supervised machine learning algorithms which are asked in the data science interviews.
Important conceptual questions related to Machine Learning and Data Science interviews
Statistics is a vast subject and no one knows all of it! But there are some bare minimum concepts which you must know as a Data Scientist.
Understanding machine learning algorithms and statistics is half of the story. Choosing the right algorithm for the business problem at hand is the real challenge.
Sampling Theory helps you to examine how good the predictive model will perform after it is deployed in production.
![Measures of Location [Quartiles]](https://thinkingneuron.com/wp-content/uploads/2019/02/blur-bright-close-up-1078850-e1550921014456.jpg)
Measures of location is a combination of values for a data which can summarise its distribution.
It is very important to explore the data and understand it, before you can use it for solving problems.
Mode is the most frequently occurring value in a set.
