-Beginners-Guide-to-Data-Types-and-Structures
Tech Trends

Understanding Data: A Beginner’s Guide to Data Types and Structures

Explore the essentials of data types and structures in this beginner's guide. Learn about integers, strings, floats, lists, dictionaries and more.
Kendall-McNeil
Alumni Stories

Kendall McNeil: From Project Management to Data Science

"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."
Intro to Predictive Modeling
Tech Trends

Intro to Predictive Modeling: A Guide to Building Your First Machine Learning Model

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
Tech Trends

Introduction to Natural Language Processing (NLP) in Data Science

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.
Enhancing Your Tech Career with Remote Collaboration Skills
Artificial Intelligence

Enhancing Your Tech Career with Remote Collaboration Skills

Learning to effectively collaborate with co-workers in a remote work setting is a critical skill to hone. Read on to find out how Flatiron’s AI-geared hackathon is helping the school’s graduates sharpen this skill—plus many others.
The 8 Things People Want Most from an AI Personal Finance Platform
Artificial Intelligence

The 8 Things People Want Most from an AI Personal Finance Platform

Smooth bank integrations and rock-solid security are just two things people want most from an AI personal finance platform. Read on to learn the other six, and find out how Flatiron’s Hackonomics hackathon teams will incorporate all eight into their Money Magnet final projects.