Data Science Interview Questions for IT Industry Part-3: Supervised ML
Popular supervised machine learning algorithms which are asked in the data science interviews.
Data Science Interview Questions for IT Industry Part-2: Machine Learning
Important conceptual questions related to Machine Learning and Data Science interviews
Data Science Interview Questions for IT Industry Part-1: Statistics
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.
How to apply Data Science for any business problem
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.
What is the use of Sampling Theory in Data Science
Sampling Theory helps you to examine how good the predictive model will perform after it is deployed in production.
Stats 101: How to do sampling in R?
To perform sampling in R, one can take help of various functions available for each type of sampling technique.
Stats 101: What is the ​Sampling Theory
Sampling means choosing random values. A random sample exhibits the properties of the whole population.
![Measures of Location [Quartiles]](https://thinkingneuron.com/wp-content/uploads/2019/02/blur-bright-close-up-1078850-e1550921014456.jpg)
Stats 101: Measures of Location [Quartiles]
Measures of location is a combination of values for a data which can summarise its distribution.
Stats 101: Measures of Spread [Standard Deviation]
Standard Deviation helps to understand ‘On an average, how far away each data point is from the mean value’
Stats 101: Measures of Spread [Min Max]
It is very important to explore the data and understand it, before you can use it for solving problems.