Github Ramdevchoudhary Titanic Data Analysis Here i will work on an exploratory data analysis and mechine learning based on the titanic data set using python. in a first step we will investigate the titanic data set. This notebook follows the guide for conducting exploratory data analysis on the titanic dataset. we'll go through each step systematically to uncover insights about passenger survival rates.
Github Harneet1729 Data Analysis Titanic We present the correlation between titanic sank surviving rate and the passenger demographics. percentage bar charts are used to show the ratio between survived not survived and passenger features (age, gender, passenger class, number of siblings spouses and number of parents children are used). 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. 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. Description: this repository contains my titanic dataset analysis project. as a data analyst, i've explored this classic dataset to enhance my skills in data manipulation, visualization, and basic statistical analysis using python libraries like pandas, matplotlib, and seaborn.
Github Harneet1729 Data Analysis Titanic 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. Description: this repository contains my titanic dataset analysis project. as a data analyst, i've explored this classic dataset to enhance my skills in data manipulation, visualization, and basic statistical analysis using python libraries like pandas, matplotlib, and seaborn. This comprehensive titanic dataset analysis demonstrates a complete data science workflow that can be applied to any classification problem. through our systematic 5 phase approach, we've created a robust predictive model that achieves approximately 79% accuracy in predicting passenger survival. Using machine learning algorithm on the famous titanic disaster dataset for predicting the survival of the passenger. This repository contains my data analysis project on the iconic titanic dataset from kaggle. the aim is to discover the factors that impacted the survival of passengers on the titanic and develop a predictive machine learning model based on passenger characteristics. This project analyzes the titanic dataset to explore factors influencing passenger survival rates during the tragic sinking of the rms titanic in 1912.
Github Harneet1729 Data Analysis Titanic This comprehensive titanic dataset analysis demonstrates a complete data science workflow that can be applied to any classification problem. through our systematic 5 phase approach, we've created a robust predictive model that achieves approximately 79% accuracy in predicting passenger survival. Using machine learning algorithm on the famous titanic disaster dataset for predicting the survival of the passenger. This repository contains my data analysis project on the iconic titanic dataset from kaggle. the aim is to discover the factors that impacted the survival of passengers on the titanic and develop a predictive machine learning model based on passenger characteristics. This project analyzes the titanic dataset to explore factors influencing passenger survival rates during the tragic sinking of the rms titanic in 1912.
Github Harneet1729 Data Analysis Titanic This repository contains my data analysis project on the iconic titanic dataset from kaggle. the aim is to discover the factors that impacted the survival of passengers on the titanic and develop a predictive machine learning model based on passenger characteristics. This project analyzes the titanic dataset to explore factors influencing passenger survival rates during the tragic sinking of the rms titanic in 1912.
Github Harneet1729 Data Analysis Titanic
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