ahmed salah

ahmed salah

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How to predicate gender using logistic algorithm from excel file ?

Jan 25 2024 8:51 PM

/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 


Answers (2)