Learn how to deploy your machine learning model to the web using Streamlit. — So you have been learning machine learning for a while now and have created your first ML model; an Image classification model which is trained on the CIFAR-10 dataset. Pretty good, that’s one of the first steps to becoming a good ML engineer, but now what? Do you just leave…

Get your gold medal by learning the technique that Kaggle Grandmasters use to win competitions. — So if you have ever been part of the Tabular Playground series of kaggle you will notice that the notebooks that are generally at the top have one thing in common. They use a bunch of models and aggregate their outputs in one way or another to get a more…

Hands on Machine Learning with TensorFlow and Scikit-Learn. A book review. — Now before we get started I would like to let all of you know that I have never been a huge fan of books when it comes to learning anything related to tech. I am a firm believer of project based learning and still am, but through the read through…

Two ways to set up environment variables for your next JavaScript project. Everybody wants to learn the flashy stuff like React and Vue when it comes to web development. So for a change let’s get a bit into the basics, let’s discuss environment variables. If you have ever worked on…

So most of the people who have been exposed to the Machine Learning and Data Science domain have come across Numpy either directly or indirectly. You could be a newbie who just watched an “intro to ML” video or a Kaggle GrandMaster with 10 years of experience under his belt…

Oh, bitmasks where do I start about those. One of the most difficult to understand topics in DSA (Data Structures and Algorithms) while simultaneously one that opens up entire new horizons for solving your problems. As someone who is constantly trying to improve my problem solving skills, bit masks were…

In recent times the deep learning bandwagon is moving pretty fast. With all the different things you can do with it, its no surprise; images, tabular-data and all sorts of different media classification and generation algorithms have gotten quiet a boost. But one form of media that doesn’t get much…

Anybody who has dabbled in data science knows how important it is to select the correct features and model parameters for generating a good model, especially in tasks that involve tabular data. Feature selection is the crux of any data modelling pipeline and it is different from use-case to use-case. …

For a long time the domain of text/sentence similarity has been very popular in NLP. And with the release of libraries like sentence transformers and models like BERT it has become very easy to create a text/sentence similarity generator. …