People have always been curious about how to make a career in data science or how to enter this domain […]
Stationarity in Time SeriesThe first step for any time series analysis is to make the data set stationary. Everyone knows
In our datasets we can have any sort of data, we can have numbers, categories, texts, or literally anything. If
Probably you have a lot of information about what to study and not to study for a Data Science job.
Data Science is one of those domains which are less explored in colleges but is in high demand in the
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
Missing Value treatment is no doubt one of the most important parts of the whole process of building a model.
Why do we predict?We predict in order to identify the trend of the future by using our sample data set.
We all know the definition of multi-collinearity i.e. when 2 or more explanatory variable in multi regression model are highly
We are already good with 220 words, lets’s pass that 250 mark. All the words given below are directly from