Learning SQL the Hard Way

Learning SQL the Hard Way

A Data Scientist who doesn’t know SQL is not worth his salt And that seems correct to me in every sense of the world. While we feel much more accomplished creating models and coming up with the different hypotheses, the role of data munging can’t be understated. And with the ubiquitousness of SQL when it comes to ETL and data preparation tasks, everyone should know a little bit of it to at least be useful.
Add this single word to make your Pandas Apply faster

Add this single word to make your Pandas Apply faster

We as data scientists have got laptops with quad-core, octa-core, turbo-boost. We work with servers with even more cores and computing power. But do we really utilize the raw power we have at hand? Sometimes we get limited by the limitation of tools at our disposal. And sometimes we are not willing to write all that extraneous code to save a couple of minutes. And end up realizing only later that time optimization would have helped in the long run.
Handling Trees in Data Science Algorithmic Interview

Handling Trees in Data Science Algorithmic Interview

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are crucial all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions. The way I like to describe it is that a data structure question may be thought of as a coding aptitude test.
A simple introduction to Linked Lists for Data Scientists

A simple introduction to Linked Lists for Data Scientists

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions. The way I like to describe it is that a data structure question may be thought of as a coding aptitude test.
Dynamic Programming for Data Scientists

Dynamic Programming for Data Scientists

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions. The way I like to describe it is that a data structure question may be thought of as a coding aptitude test.
The 5 most useful Techniques to Handle Imbalanced datasets

The 5 most useful Techniques to Handle Imbalanced datasets

Have you ever faced an issue where you have such a small sample for the positive class in your dataset that the model is unable to learn? In such cases, you get a pretty high accuracy just by predicting the majority class, but you fail to capture the minority class, which is most often the point of creating the model in the first place. Such datasets are a pretty common occurrence and are called as an imbalanced dataset.
3 Industries That Benefit from Data Science

3 Industries That Benefit from Data Science

Collecting and analysing data, including but not limited to text, images, and video formats, is a huge part of various industries. It can be an incredibly complex process to sift through massive amounts of data and leverage it to benefit your business by discovering key patterns. Many people who begin learning data science or are considering taking it up are often employed in other industries, to begin with. They may be afraid that pursuing this new area will leave them high and dry with few prospects, and considering how taking up data science requires a good background of Probability and Statistics, they may not think it’s worth the effort.