Pandas is a vast library. Data manipulation is a breeze with pandas, and it has become such a standard for it that a lot of parallelization libraries like Rapids and Dask are being created in line with Pandas syntax.

Big Data has become synonymous with Data engineering. But the line between Data Engineering and Data scientists is blurring day by day.

Good Features are the backbone of any machine learning model.

Chatbots are the in thing now. Every website must implement it.

This post is the third post of the NLP Text classification series.

Kaggle is an excellent place for learning. And I learned a lot of things from the recently concluded competition on Quora Insincere questions classification in which I got a rank of 182/4037.

This is the second post of the NLP Text classification series.

Recently, I started up with an NLP competition on Kaggle called Quora Question insincerity challenge.

Recently I started up with a competition on kaggle on text classification, and as a part of the competition, I had to somehow move to Pytorch to get deterministic results.

When it comes to data preparation and getting acquainted with data, the one step we normally skip is the data visualization.