Multi Class Text Classification With Deep Learning Using BERT

Most of the researchers submit their research papers to academic conference because its a faster way of making the results available. Finding and selecting a suitable conference has always been…

16 Online Courses in Coursera to Start Your Data Science Career

Here I organised 16 excellent online courses from Coursera for beginners to start Data Science, Data Analysis, Data Visualisation, Machine Learning Career.

Designing Data-Intensive Applications Book Review

Realising how little you know about something can potentially be a demoralising experience. This book, however, manages to make it invigorating and fascinating. In Designing Data-Intensive…

You are telling people that you are a Python beginner if you ask this question.

The question is simple but the answer is not.

August Edition: Journalism In A World of Data

The realisation that data is a double-edged sword can be a hard pill to swallow. From unveiling the behaviour of our communities to creating entirely hypothetical realities, our community here at…

Getting started as a developer(Part 1)

Most times I get questions like “How do I get started as a developer”, “How do I start programming?”, “How do I survive in the tech world?”, “How did you find your way into tech?” and lots more…

Dealing with Class Imbalance — Dummy Classifiers

Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy using model.score() as 95%. You are…

Is the race over for Seq2Seq models?

Ideation of Seq2Seq or sequence-to-sequence models came in a paper by Ilya Sutskever et.al. in “Sequence to Sequence Learningwith Neural Networks”. They are essentially a certain organization of deep…

Plotting w/ Pandas and PPP Loan…

Beginners guide to exploratory data analysis.. “Plotting w/ Pandas and PPP Loan Data” is published by Mikio Harman in Towards Data Science.

How To Deal With Imbalanced Classification, Without Re-balancing the Data

In machine learning, when building a classification model with data having far more instances of one class than another, the initial default classifier is often unsatisfactory because it classifies…