What are the key steps in data preparation for machine learning?
An example of an AI chatbot conversation about data preparation for machine learning.
What are the key steps in data preparation for machine learning?
The key steps include data collection, cleaning, transformation, and splitting into training and testing sets.
Can you explain what data cleaning involves?
Data cleaning involves removing duplicates, handling missing values, and correcting inconsistencies in the dataset.
What types of data transformation should I consider?
Consider normalization, standardization, and encoding categorical variables to prepare your data for modeling.
How do I split my data into training and testing sets?
You can use techniques like random sampling or stratified sampling to split your data, typically in a 70-30 or 80-20 ratio.
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