How do I start a machine learning project?
Starting a machine learning project involves several key steps. First, define the problem you want to solve.
What kind of problems are suitable for machine learning?
Machine learning is great for problems involving predictions, classifications, and pattern recognition, like image or speech recognition.
What data do I need to collect?
You'll need a dataset relevant to your problem. It should be large enough to train your model effectively.
How do I choose the right algorithm?
Choosing the right algorithm depends on your problem type. For example, use regression for continuous outcomes and classification for categorical outcomes.
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