Developing the chatbot with Microsoft DialoGPT In the first part of the tutorial, we extracted the required raw data by HTML scraping and constructed a data frame that contains character names and their dialogues. If you would like to refer back to the first part, here’s the link. In this…

HTML scraping character dialogues with Beautiful Soup Are you a fan of South Park animated series? If you are, who is your favorite character? Mine is Eric Cartman. I like him for his hilarious dialogues as well as his extremely psychopathic, sociopathic and manipulative behaviors. You know what else I…

The re-creation of the Silicon Valley’s “See Food” app with the VGG16 convolutional neural network Dear Humanity, you’re welcome! Never again in your life, you will suffer from the Hot Dog Dilemma. You will never think “Hmmm … Is this a hot dog I’m eating?” while chowing down on a…

Improve your Neural Network’s Performance by Enhancing your Image Data Image processing is one of the rapidly growing technologies of our time and it has become an integral part of the engineering and computer science disciplines. Among its many subsets, techniques such as median filter, contrast stretching, histogram equalization, negative…

How to handle missing data in your dataset with Scikit-Learn’s KNN Imputer Missing values exist in almost all datasets and it is essential to handle them properly in order to construct reliable machine learning models with optimal statistical power. In this article, we will talk about what missing values are…

What is Levene’s test, how to use it and what are its alternatives T-Test and its Basic Assumptions Before we dive into Levene’s test, let’s briefly talk about the t-test. The t-test is a popular and useful tool for hypothesis testing in statistics which can be used to determine if there is a significant difference…