What tools should I include in my data science portfolio?
An example of an AI chatbot conversation about tools for a data science portfolio.
What tools should I include in my data science portfolio?
You should consider including tools like Python, R, SQL, Tableau, and Jupyter Notebooks.
Can you explain why Python is important for data science?
Python is versatile, has a rich ecosystem of libraries like Pandas and NumPy, and is widely used in the industry.
What about machine learning tools?
For machine learning, include tools like TensorFlow, Scikit-learn, and Keras to showcase your skills.
Should I include any cloud platforms?
Yes, mentioning cloud platforms like AWS, Google Cloud, or Azure can demonstrate your ability to work with scalable solutions.
How can I showcase my projects effectively?
You can create a personal website or use platforms like GitHub to display your projects and code.
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