Create new features by multiplying or dividing existing numerical columns (e.g., Price * Quantity ). Polynomial Features: Generate x2x squared for non-linear relationships.
Calculate the moving average or standard deviation over a specific window. 75bdb.7z
Convert text into numerical importance scores. Create new features by multiplying or dividing existing
Extract the hour, day of the week, month, or "Is Weekend" flag. 3. If it contains Text Data Convert text into numerical importance scores
If you provide the column names or a summary, I can generate specific Python code for you.
Use a library like TextBlob or VADER to generate a numerical "mood" for the text. 4. If it contains Image Data Color Histograms: Quantify the distribution of colors.
Convert continuous numerical data into discrete categories (e.g., "Low", "Medium", "High"). 2. If it contains Time-Series Data Lag Features: Include values from previous time steps (