/forums/uploadfile/e2e758/01252024204521PM/Data.csv
I'm beginner work on machine learning using python colab I have excel file have 5 columns 1-Favorite Color: Favorite color (colors reported by respondents were mapped to either warm, cool or neutral). 2. Favorite Music Genr: Favorite broad music genre. 3. Favorite Beverage: Favorite alcoholic drink. 4. Favorite Soft Drink: Favorite fizzy drink 5. Gender: Binary gender as reported by the respondents
My question How to Predict Gender using logisic algorithm with preprocessing and Exploratory Data Analysis?
I attached my files excel attached with post
what i try using python colab
import pandas as pd # Load the dataset into a DataFrame df = pd.read_csv('Data.csv') # Explore the dataset print(df.head()) print(df.info()) # ... perform further exploratory analysis # Step 2: Preprocessing # Handle missing values df = df.dropna() # remove rows with missing values, or use imputation techniques
how to complete code until i predicate with gender please ?
Data.csv file added as below