Github Zahaira Titanic Data Analysis Python This Repository Contains

Github Zahaira Titanic Data Analysis Python This Repository Contains This repository contains a data analysis project focused on the titanic dataset. the goal is to explore which factors most significantly affected passenger survival. In this project, we aim to explore and analyze the titanic passenger dataset using both python (jupyter notebook) and power bi. our goal is to uncover patterns and factors that contributed to passenger survival.

Github Sanjib22 Titanic Data Analysis Python This project uses the classic titanic dataset to predict whether a passenger survived or not using machine learning models. it demonstrates data preprocessing, exploratory data analysis (eda), model training, and evaluation in python using libraries like pandas, scikit learn, and matplotlib. Overview this project is an exploratory data analysis (eda) of the famous titanic dataset from kaggle. the goal is to use python (pandas, numpy, and matplotlib) to analyze which factors made people more likely to survive the titanic disaster. It contains information of all the passengers aboard the rms titanic, which unfortunately was shipwrecked. this dataset can be used to predict whether a given passenger survived or not. The analysis of the titanic dataset not only provides historical insights but also demonstrates various data science techniques, from data cleaning and eda to predictive modeling.

Github Onurdogru Titanic Data Analysis With Python It Is A Detailed It contains information of all the passengers aboard the rms titanic, which unfortunately was shipwrecked. this dataset can be used to predict whether a given passenger survived or not. The analysis of the titanic dataset not only provides historical insights but also demonstrates various data science techniques, from data cleaning and eda to predictive modeling. Titanic data analysis 📌 objective the goal of this project is to clean and analyse the titanic dataset to uncover patterns in passenger demographics, ticket classes, fares, and survival rates. This repository contains a comprehensive data analysis of the titanic dataset using python. we use popular data science libraries like pandas and matplotlib to explore, visualize, and draw insights from the titanic passenger data. This project involves analyzing the titanic dataset using python, pandas, numpy, matplotlib, and seaborn. the goal is to explore the data, handle missing values, and visualize various aspects of the data to gain insights into the survival rates of passengers based on different features.