Think like an employer and stand out in the job market by: - Selecting the best resources to learn programming and machine learning skills - Identifying the types of projects that employers value most - Bringing unique ideas to the table - Developing habits that help you make progress on your projects - Creating a framework to evaluate and improve your projects - Finding and contacting companies that value real-world skills - Preparing for practical interviews
This guide is for self-learners, but it's also crucial for degree holders looking to strengthen their resumes with portfolio projects.
No ML Degree: How to Build an AI Portfolio