How do I prepare my dataset for machine learning?

How do I prepare my dataset for machine learning?

Preparing a dataset involves cleaning, transforming, and splitting the data. What type of data are you working with?

I have a CSV file with customer data. What should I do first?

Start by checking for missing values and duplicates in your CSV file. You can use libraries like Pandas in Python for this.

What if I find missing values?

You can either remove the rows with missing values or fill them in using techniques like mean, median, or mode imputation.

How do I split the dataset into training and testing sets?

You can use the train_test_split function from the sklearn.model_selection module to easily split your dataset.