Add Titanic solution by emmanuelakwasi

[emmanuelakwasi]

What does this implement/fix? Explain your changes.

Added a Titanic Survival Prediction solution for exercise 001.

What I did:

• Explored and visualised the data with 7 charts
• Cleaned missing values (Age, Embarked, Fare)
• Engineered new features (AgeGroup)
• Tested 6 classification models with 5-fold cross validation

Results:

Model	CV Accuracy
Gradient Boosting	82.04%
Random Forest	81.04%
Decision Tree	79.91%
Logistic Regression	79.46%
K-Nearest Neighbors	75.43%
Support Vector Machine	66.90%

Best model: Gradient Boosting at 82.04% CV accuracy

Libraries used:

pandas, numpy, matplotlib, seaborn, scikit-learn

Any other comments?

Open to feedback and suggestions for improvement!