Every programming language should have the facility of file handling. At least basic open, close, read, and write file records. To access the file we have two options in python. One obviously to give the whole path in every file operations and another and the best one should be set your path of the files …
Those who are very much comfortable with R and try to learn python, first question come to their mind is which IDE is the best for python. As in R, R-studio is one and only giant in the market and which gives every possible option to explore (exceptfewdrawbacks), we want one best IDE which can …
Descriptive Statistics is the term given to the analysis of the data, which will show meaningful insights, patterns present in data. However this doesn’t allow us to make any conclusions beyond the given data points. Let us take an example, Suppose in a company if Higher Management asked for Revenue data. Then directly giving him Raw …
What it is? I came across this technique while working with Text. I was trying to analyse Twitter’s tweets and Facebook’s posts from page after Reliance Jio Launch. Analysis invloves: After this I was thinking to do something else, while searching on net I found this new topic “Topic Modelling” and “LDA”. Started reading this, and …
While working on Machine Learning/Predictive Modelling problems, feature selection is an important step. It is because, we get a dataset with too many variables in practical model building problems in which all variables are not relevant to the problem, and this we don’t know in advance. Also, there are some disadvantages of using all given …
