Super Data Science: ML & AI Podcast with Jon Krohn 780: How to Become a Data Scientist, with Dr. Adam Ross Nelson
May 3, 2024
Dr. Adam Ross Nelson shares 10 project ideas for aspiring data scientists. Topics include portfolio projects, data augmentation strategies, showcasing skills in job interviews, and using platforms like GitHub and PythonAnywhere.
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Build a Portfolio
- Build a data science portfolio to showcase your skills to potential employers.
- Include projects that demonstrate your abilities in data collection, model building, and deployment.
Create Your Own Dataset
- Create your own original dataset.
- Document the entire process to showcase attention to detail and methodology.
Deploy NLP Models
- Use pre-trained natural language processing models for sentiment analysis.
- Focus on deploying these models into production using available APIs.