Hey? are you tired of searching books for Data Engineering ?? If yes, then you have landed in the right place. We will talk about the Best 10 books for Data Engineering. Books are considered more accurate, more careful, and…
Are you well versed with time series concepts? If yes, wonderful. Now, it’s time to put your knowledge into action and create some amazing projects. In this post, We’ll be discussing the 10 best time-series projects that will not just…
In this tutorial, we are going to discuss what is Git, why do people use it in industry, how to learn git in just 10 easy steps and what is the workflow for Git. Git is the most frequently used…
This post mainly focuses on interview questions asked in the data science interview. The primary purpose of this post is to help you to understand and learn concepts through questions. So let’s prepare together! 1. Why do we need Normalization?…
You might have heard “Genetic algorithm” in biology, but ever wondered how this algorithm is applied to data science? For a large dataset (where the number of features is huge), it’s really difficult to select features only through the filter,…
The Chi-Square test provides an important statistical measure for the relationship between categorical variables. Table of Content Important terms to understand chi square test Need of chi square test Assumptions taken before applying chi square test Statistical functions used to…
Through data wrangling, we have seen basic pre-processing methods to make the data in usable form. So just think, what should be our next step..? Exploratory Data Analysis In simple terms, every process gives insights into data. Now questions is,…
Let’s take first step towards journey of being a data scientist.. For any manipulation, we need to understand the data first. Basically, data is of two types: Unstructured: A form of data, where data points are not in a particular…