Flatiron School Blog

Predictive modeling in data science involves using statistical algorithms and machine learning techniques to build models that predict future outcomes or behaviors based on historical data. It encompasses various steps, including data preprocessing, feature selection, model training, evaluation, and deployment.

Social media attacks are on the rise. Learn best practices for protecting a business (and a business’ employees) from bad actors.

Find camping locations within the path of totality of the 2024 solar eclipse by viewing our data visualizations, which merge eclipse and parks geo datasets.

Learn why storytelling is so critically important for designers when they are crafting design presentations, and find six storytelling techniques you can apply when crafting your own presentation.

Build strong coding foundations by learning the coding building blocks. You can apply these concepts in almost any programming language.

Natural Language Processing (NLP) encompasses a variety of techniques designed to enable computers to understand and process human languages. In this post you’ll learn about NLP applications like text classification and sentiment analysis, plus NLP techniques like tokenization and stemming.