Published on July 19, 2021 in Towards Data Science Read data directly from the clipboard without saving it first When I write about a library or a new concept, I typically like to showcase its working via examples. The source of datasets that I use in my articles varies widely. Sometimes I create simple toy datasets, while on other … Continue reading From clipboard to DataFrame with Pandas
Some tips and tricks to make the most of your Github experience Originally published here This article compiles some useful tips and hacks that I have discovered over time while using Github. These have been gathered from various sources over time. I have filtered out the ones that were too familiar to avoid repetition. … Continue reading A Tour of 10 Useful Github Features
Speed up Inference of your scikit-learn models This article was originally published here. Deep learning frameworks consist of tensors as their basic computational unit. As a result, they can utilize the hardware accelerators (e.g., GPUs), thereby speeding up the model training and inference. However, the traditional machine learning libraries like scikit-learn are developed to run on CPUs … Continue reading Tensors are all you need
Streamline your data science code repository and tooling quickly and efficiently Originally published here Good Code is its own best documentation Dr. Rachael Tatman, in one of her presentation, highlighted the importance of code reproducibility in a very subtle way : “Why should you care about reproducibility? Because the person most likely to need to reproduce … Continue reading Automate your data science project structure in three easy steps
A deep dive into some of the parameters of the read_csv function in pandas Pandas is one of the most widely used libraries in the Data Science ecosystem. This versatile library gives us tools to read, explore and manipulate data in Python. The primary tool used for data import in pandas is read_csv().This function accepts the file path of a … Continue reading There is more to ‘pandas.read_csv()’ than meets the eye
Harnessing the true potential of AI by enabling every employee, customer, and citizen with sophisticated AI technology and easy-to-use AI applications. Democratization is an essential step in the development of AI, and AutoML technologies lie at the heart of it. AutoML tools have played a pivotal role in transforming the way we consume and understand … Continue reading H2O AI Hybrid Cloud: Democratizing AI for every person and every organization
Breaking the Jargons 