Flatiron School Blog

"When I found Flatiron School, I was excited about the opportunity to level up my coding skills and gain a deeper understanding of machine learning and AI."

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.

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.

Ready to switch careers to cybersecurity? Explore how bootcamps offer hands-on skills for all ages and help bridge experience gaps.

Most great products start as simple ideas. But how those simple ideas become great products is a not so straightforward journey. It is a process highlighted by generating and refining many ideas and putting them to the test over and over again. Here are some tips on the process of turning your ideas into a usable product that people love.

Software Engineering isn’t going anywhere soon, but proficiency in AI will quickly become essential for every Software Engineer.