Liner Aggression Classification
The Titanic dataset is one of the most famous beginner-friendly datasets in data science. It contains information about passengers aboard the Titanic — including age, gender, class, and survival status. In this project, I built a Logistic Regression model to predict whether a passenger survived based on their characteristics. Through data cleaning, visualization, feature engineering, and model building, we can uncover the key factors that influenced survival. . Dataset & Tools Dataset: Titanic Dataset (Kaggle) Tools: Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn Skills Demonstrated: Data Cleaning & Preprocessing Exploratory Data Analysis (EDA) Feature Engineering Logistic Regression Modeling Model Evaluation 2. Load and Explore the Dataset import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns # Check for missing data titanic.isnull () . sum () PassengerId 0 Survived 0 Pclass ...