This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku.

A lot of aspiring Data Scientists take courses on statistics and get befuddled with the concept of Degrees of Freedom. Some memorize it by rote as ‘n-1'.

But there is a intuitive reason why it is ‘n-1’.…

What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental.

Hmm, for past few years many of us have come across articles like

• “Top 10 Machine Learning Algorithms every Data Scientist …

“Missile approaching, Every one run for cover”. People sending final goodbye messages to their loved ones. Family members huddling and praying together. Mother clinging to children, while the father hurriedly makes for a safe getaway for the family to the basement. Imagine the state of confusion and chaos every Hawaiian would have faced on Jan 13, 2018…

So what were the answers popping in your head ? Random forest, SVM, K means, Knn or even Deep Learning and its variants ?

Now some of you might laugh and say how on earth can you predict so far ahead, predicting things 100 yrs into future is crazy.…

Many a blogs and articles are written on how to become a Data Scientist. The list normally goes like this

• Study descriptive statistics, hypothesis testing, probability
• Learn types of Machine learning algorithms – Supervised, Unsupervised
• Learn Python, R, SAS, SQL
• Apply machine learning techniques using Python, R, SAS
• Learn Data Visualization

While there is nothing wrong in the path illustrated above, it is not the…

What is R Shiny App?

R shiny app is an interactive web interface. R shiny app has two components user interface object (UI.R) and server function (Server .R). The two components are passed as arguments to the shiny app function that creates a shiny app object. For more info on how to build Shiny…

Many of us are bombarded with various recommendations in our day to day life, be it on e-commerce sites or social media sites. Some of the recommendations look relevant but some create range of emotions in people, varying from confusion to anger.

There are basically two types of recommender systems, Content based and Collaborative filtering. Both have their pros and cons depending upon the…