Data Science is the hottest & in-demand field today, to become a Data Scientist, it is crucial to know about Data Preprocessing as it is a vital component in the field of Data Science.

While doing Data Preprocessing, every time “Feature Engineering” has to be done. “Dummy Variable Trap” is the problem that occurs in Feature Engineering.

Now, that being said, let’s start this blog & first of all, let’s talk about the origin of Dummy Variable Trap.

Origin/Source of Dummy Variable Trap!

It occurs because of MultiCollinearity. If there is multicollinearity present in the dataset, then definitely Dummy Variable Trap will occur.

If you are unaware of MultiCollinearity, I would request you to please go through the below-mentioned blog on MultiCollinearity, it will cover everything about it. …

A huge hype has been created for Data Science in today’s world, but the sad reality is that, due to this hype, most people are not learning the actual concepts which are required, if someone is learning even, then also it is not learning in the right way that is, they do not learn the actual use-case for that.

This problem of rushing behind a buzzword without knowing the actual concepts of it makes it very difficult to actually understand it. In addition to that, this type of learning leaves a very bad impact/impression on society/other interested students. Since interested people observe the pattern of learning of the students who are learning it in the wrong way/approach, they also tend to do the same thing. …

In this rapid world, where automation is a crucial aspect for every business, therefore it is very important to provide the correct education for everyone. But, the sad reality is that the way which is used to deliver education is absurd. Most of the sources for education are very abstract which does not provide the content in-depth.

The biggest example of abstraction in education can be taken from the tool used in this blog, i.e., Hadoop, most of the sources will provide you the configuration script which will work after a lot of effort because initially, it is challenging to understand that script. …

In this rapid world, DevOps is a very important technology. It is one of the most demanding technologies in the present, therefore understanding it conceptually is a very important factor today for anyone.

I used “understanding” in the above paragraph because learning is not required, & also learning is not for long term goal, understanding is for the long term goal. So, everyone should focus on understanding the concepts instead of learning them.

In this blog, a complete practical will be covered which includes setting up the load balancer or reverse proxy using HAProxy software, Webserver using the Apache Webserver software, & using Ansible to automate everything. In addition to that, Web servers will be attached/bound to the load balancer dynamically, instead of making their entry in the configuration file of the Load Balancer. …

Automation is been widely adopted & in huge demand these days due to multiple reasons, & DevOps is the key to achieve automation. Some of the reasons for adopting automation are that it enables parallel work to a very large extent, saves time in which multiple other works can be done, is less prone to errors, & saves money, etc.

Automation has established itself in the world completely, everyone is chasing it, there is a huge demand for automation, & that is the reason I have writing this blog to provide a glimpse of the automation world.

Before directly jumping to the practical, let us discuss something about Containerization & Automation tools that are used in the practical. …

I am very much confident that you must have encountered the terms “Probability” & “Likelihood” in your daily life, but you must have found those terms very much confusing & almost similar. For the very first time, if anyone is trying to understand these terms, it might feel like they both are similar, it is difficult to spot/understand the difference between the terms.

No worries, you have come to the right place, this blog will guide you to understand the difference between the Probability & the Likelihood.

Important note!

The biggest problem which restricts someone to understand the concepts of Data Science is the wrong approach towards learning & understanding it. …

In every data science project, Feature Engineering is a very important aspect that needs to be done in order to make an effective model. In any Data Science project, it is very important to select minimum features that are relevant to the target variable/output.

For Feature Selection, there are various techniques, among those techniques, finding correlation is very famous & widely adopted. Finding a correlation between the features of the dataset is a very interesting and important aspect.

I would request to all the readers of this blog, please read my blog on Covariance(if you haven’t already), it will build you fundamentals on correlation, & it will also help you to understand the drawbacks of Covariance which leads us to use Pearson Correlation. …

Data Science is a very hot topic at present. Most of the pursuing students are selecting this field as their profession, in addition to that, many corporate guys are also shifting towards this technology by seeing the scope of this field.

Since Data Science is very much famous & a hot topic, that is why it is attracting most people which is an amazing thing, but in contrary to that, most of the guys, when they start learning in this field, they have a feeling to learn it as soon as possible. …