What are some common models in scikit-learn?
Scikit-learn offers various models like Linear Regression, Decision Trees, and Support Vector Machines. What are you interested in?
Can you explain how Decision Trees work?
Sure! Decision Trees split data into branches based on feature values, making decisions at each node until a final prediction is made.
What are the advantages of using Random Forest over Decision Trees?
Random Forest reduces overfitting by averaging multiple Decision Trees, improving accuracy and robustness.
How do I choose the right model for my dataset?
Consider the size of your dataset, the type of problem (classification or regression), and the interpretability you need.
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