[Exploratory Data Analysis] How to perform univariate analysis

Let’s assume that we are about to start working on a new classification problem. Before we start, it’s always a good idea to perform a univariate analysis on the target variable. This is helpful because it’s going to give us insights into the distribution of the target. What if we discover that the dataset is

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[Feature Engineering] how to convert a date string to datetime

Let’s say that we have a dataset like rainfall in Australia (where I can find this? in kaggle) In this dataset, we have a date column that looks like this: >>> df[‘Date’] 0 2008-12-01 1 2008-12-02 2 2008-12-03 3 2008-12-04 4 2008-12-05 … 145455 2017-06-21 145456 2017-06-22 145457 2017-06-23 145458 2017-06-24 145459 2017-06-25 Name: Date,

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TDD, GoogleTest, GitHub, Travis CI and Conan; the easy way!

Test-Driven Development (TDD) is a popular approach in developing code bases and there is a good reason for that. There are many books that explain the way and the advantages of adopting an approach like that. In today’s post, I’m not going to explain that again.  An amazing book that I can suggest is the

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Docker 101

Who can live without docker? Hmm, I don’t know someone. The concept is known and I am not going to explain it in this space. What makes me think that worths is to gather a few essential commands to hit the ground running, don’t you think? How to install it Ubuntu 18.04? There are a

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