Blogs - Thinking Neuron

Data Science Interview Questions for IT Industry Part-4: Unsupervised ML

Important Unsupervised machine learning algorithms which are asked in the data science interviews.

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

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

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.

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.

Stats 101: What is Mode value and when to use it?

Mode is the most frequently occurring value in a set.