How do I set up a machine learning project in Python?
To set up a machine learning project in Python, start by creating a virtual environment and installing necessary libraries like NumPy, pandas, and scikit-learn.
What libraries should I install for data manipulation?
For data manipulation, you should install pandas and NumPy. They are essential for handling and processing data efficiently.
Can you suggest a good project structure?
A good project structure includes directories for data, notebooks, scripts, and models. For example:
How do I manage dependencies?
You can manage dependencies using a requirements.txt file or by using tools like pipenv or poetry to create a virtual environment.
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