April 2020 - The Data Monk

Label Encoder and One Hot Encoding

TheDataMonk Grand Master April 21, 2020 Python , Uncategorized Comments Off 1705 views

In our datasets we can have any sort of data, we can have numbers, categories, texts, or literally anything. If you have ever created any model , you already know that you can't use Textual Data to train ...

100 Questions in R to crack any Data Science Interview

TheDataMonk Grand Master April 18, 2020 R , Uncategorized Comments Off 670 views

R is one of the two most popular Data Science programming language. If you are new to this domain, then we would always recommend you to start with R because of it's easier installation steps, minimal version control, ...

300+ Data Science Interview Questions

TheDataMonk Grand Master April 17, 2020 TheDataMonk E-books , TheDataMonk Products Comments Off 1947 views

Probably you have a lot of information about what to study and not to study for a Data Science job. But, when you start applying to a DS job, then you will realize that the whole process contains ...

Interview Questions – Flipkart, Myntra, Oyo Rooms, Tredence, and Meredith India

TheDataMonk Grand Master April 16, 2020 TheDataMonk E-books , TheDataMonk Products Comments Off 1000 views

Data Science is one of those domains which are less explored in colleges but is in high demand in the I.T. sector.The combination of Maths and Technology makes it even more interesting. I have been working as a ...

Janta Hack – Analytics Vidhya R code

TheDataMonk Grand Master April 11, 2020 R Comments Off 638 views

install.packages("stringr")library(stringr) data = read.csv("C:/Users/User/Desktop/Hackathon/JantaHack/train.csv")head(data)str(data) data$product <- str_count(data$ProductList,";")+1head(data)data$hours <- with(data, difftime(endTime,startTime,units="hours") )data$min <- with(data, difftime(endTime,startTime,units="mins") )data$x <- as.double(data$endTime - data$startTime, units = "mins") table(data$product)hist(data$product) table(data$gender)count <- table(data$gender,data$product)barplot(count)str(data)head(data$ET)head(data$endTime)

Missing Value Treatment – Mean, Median, Mode, KNN Imputation, and Prediction

TheDataMonk Grand Master April 9, 2020 Machine Learning , Statistics , Uncategorized 1 Comment 3321 views

Missing Value treatment is no doubt one of the most important parts of the whole process of building a model. Why?Because we can't afford to eliminate rows wherever there is a missing value in any of the columns. ...

Story of Bias, Variance, Bias-Variance Trade-Off

TheDataMonk Grand Master April 8, 2020 Machine Learning , Statistics , Uncategorized Comments Off 1476 views

Why do we predict?We predict in order to identify the trend of the future by using our sample data set. Whenever we create a model, we try to create a formula out of our sample data set. And ...

GRE Verbal | Barron’s 800 Destroyed | Day 11

TheDataMonk Grand Master April 7, 2020 Misc , Uncategorized 5 Comments 498 views

Too much work in WFH :PWas already dozing, but let's end the day with at least a few words in hand. Let's go 281. quorum - Number of member necessary to conduct a meetingTo start ...

Multicollinearity in Simple Terms

TheDataMonk Grand Master April 6, 2020 Machine Learning , Statistics , Uncategorized Comments Off 1224 views

We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly linearly related then it's called multicollinearityExample - Age and Selling price of a CarEducation and Annual IncomeHeight and ...

GRE Verbal | Barron’s 800 Destroyed | Day 10

TheDataMonk Grand Master April 5, 2020 Misc , Uncategorized 2 Comments 788 views

We are already good with 220 words, lets's pass that 250 mark. All the words given below are directly from Barron's 800 most frequent words. 251. abeyance - temporary suspensionIf you have ever created an ...

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