What are some tips for building a strong data science portfolio?
To build a strong data science portfolio, focus on showcasing diverse projects that highlight your skills.
What types of projects should I include?
Include projects that demonstrate your ability to analyze data, build models, and visualize results. Consider real-world datasets.
How can I make my portfolio stand out?
Make it visually appealing, include detailed explanations of your thought process, and highlight your unique contributions.
Should I include my code in the portfolio?
Yes, including your code on platforms like GitHub can show your coding skills and how you approach problem-solving.
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