A data science blog that covers various data science topics that you wish people would cover
This article provides an in-depth exploration of the fundamental steps involved in Rosenblatt's Perceptron Model. The perceptron serves as a fundamental unit of logic in neural networks. The perceptron is modified to handle binary classifying tasks, distinguising between two possible outcomes (1 or 0, yes or no, etc.).
This article examines how machine learning can be used to classify password strength by analyzing features such as estimated guess counts, crack times, and other related metrics.
This article explores how to develop a simple language identifier that can identify the language of given text using character bigrams.
This article shows show you how to run Ollama on Google Colab. This approach provides an easy way to work with large language models without needing specialized hardware or managing your own local server.