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answerhappygod
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by answerhappygod »
- 87234 0 1 0 1 1 1 0 4 Name Survived Dtype Int64 0 1 2 3 4 5 6 7 8 9 Sex Age 3 Male 20 1 Female 30 3 Female 20 1 Fema 1 (15.73 KiB) Viewed 16 times
- 87234 0 1 0 1 1 1 0 4 Name Survived Dtype Int64 0 1 2 3 4 5 6 7 8 9 Sex Age 3 Male 20 1 Female 30 3 Female 20 1 Fema 2 (22.59 KiB) Viewed 16 times
X = titanic_df.drop("Survived",axis=1)y = titanic_df["Survived"]
87234 0 1 0 1 1 1 0 4 Name: Survived, dtype: int64
0 1 2 3 4 5 6 7 8 9 Sex Age 3 male 20 1 female 30 3 female 20 1 female 30 3 3 1 3 male 3 female Pclass male 30 male 20 male 2 female 50 0 20 10
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