Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150…

applying data analysis on titanic data sheet

Kaggle Competition Question

Exploratory Data Analysis on Titanic Survivor Dataset provided by Kaggle.

Data analysis and Machine learning on titanic data

Data Visualization for titanic data

In this challenge, we'll build a predictive model that answers the question: “what sorts of people were more likely to survive to the Titanic tragedy?” using passenger data (name, age, gender, socio-economic class, etc).

Проект по анализу и визуализации данных о пассажирах Титаника с использованием библиотек Pandas, Scikit-learn, Matplotlib, Seaborn и Plotly. Включает в себя Feature Engineering, обработку пропущенных значений и создание интерактивных визуализаций.

Predicts Titanic passenger survival using machine learning (Logistic Regression, Decision Tree, and Random Forest). Analyzes factors like age, gender, and fare to identify key predictors.