Github Taruchit Titanicanalysis Contribute to raushankumar6917 titanic analysis development by creating an account on github. 💻 titanic data analysis project now on github! 💻 i've just uploaded my titanic data analysis project on github, where i used both traditional and llm assisted techniques to explore.
Github Rkskrajapakshe Titanic Analysis A comprehensive data analysis and visualization project using the famous titanic dataset. this project demonstrates data exploration, preprocessing, visualization, and predictive modeling techniques in python. In this introductory project, we will explore a subset of the rms titanic passenger manifest to determine which features best predict whether someone survived or did not survive. to complete this project, you will need to implement several conditional predictions and answer the questions below. I am currently pursuing master's in computer application at lnct university, (2022 2024). i am looking for a data analyst job role. raushankumar6917. A data analysis and machine learning project using the classic titanic dataset to predict passenger survival. this project demonstrates data cleaning, visualization, feature engineering, and model comparison using python.
Github Matheusfc77 Titanic Analysis Analysis And Prediction Of I am currently pursuing master's in computer application at lnct university, (2022 2024). i am looking for a data analyst job role. raushankumar6917. A data analysis and machine learning project using the classic titanic dataset to predict passenger survival. this project demonstrates data cleaning, visualization, feature engineering, and model comparison using python. Titanic survival prediction dataset description: the sinking of the titanic is one of the most infamous shipwrecks in history. on april 15, 1912, during her maiden voyage, the widely considered “unsinkable” rms titanic sank after colliding with an iceberg. unfortunately, there weren’t enough lifeboats for everyone on board, resulting in the death of 1502 out of 2224 passengers and crew. The sinking of the titanic in 1912 is one of the most tragic maritime disasters in history. i wanted to go beyond the history books and actually look at the real passenger data to understand what factors determined who lived and who didn't. this project is my first data analysis project where i. The sinking of the titanic is one of the most infamous shipwrecks in history. on april 15, 1912, during her maiden voyage, the widely considered “unsinkable” rms titanic sank after colliding with an iceberg. 🎯 objective: to analyze the titanic passenger dataset and uncover key factors that influenced survival during the disaster. 📁 dataset: titanic dataset from kaggle, containing information on passengers like age, sex, class, fare, and survival status.
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