Learning Data Visualisation By Python With The Data Set Titanic From Kaggle Part I

Titanic Kaggle This guide walks through an exploratory data analysis (eda) of the famous titanic dataset. i performed univariate and bivariate analysis, and uncover passenger survival trends by leveraging statistical visualizations and data exploration techniques in python. Kaggle is the largest data science and machine learning platform. it also offers opportunities in competitions. we will learn data visualisation by python us.

Titanic Kaggle In this project, i embarked on an exploratory data analysis of the iconic titanic dataset. using python libraries like pandas (pd), matplotlib (matlib) and seaborn (sns), i explored data cleaning techniques, addressed missing values and visualized key patterns and distributions. This project uses the titanic dataset from kaggle, downloaded and processed independently. the dataset contains detailed information about titanic passengers, including survival status, demographics, ticket fare, and class. Explore and run machine learning code with kaggle notebooks | using data from titanic machine learning from disaster. In this version 1 of my titanic machine learning and data analysis project, i explored the effects of aggresive data cleaning and compared it with raw data without any cleaning and.

Github Iterationjn9 Python Data Science Kaggle Titanic Python Explore and run machine learning code with kaggle notebooks | using data from titanic machine learning from disaster. In this version 1 of my titanic machine learning and data analysis project, i explored the effects of aggresive data cleaning and compared it with raw data without any cleaning and. 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. This is a beginner friendly data analysis project based on the titanic dataset from kaggle. as part of my learning journey into data science and python, i explored the data to uncover survival trends among passengers aboard the titanic. There are a few ways to get an initial look at the data. here i use pandas profiling. we can effortlessly get an overview of our variables, including missing values. here we have 12 variables, including our target which named survived. so we have 11 features to use for the model. Explore and run machine learning code with kaggle notebooks | using data from titanic machine learning from disaster.

Titanic Kaggle 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. This is a beginner friendly data analysis project based on the titanic dataset from kaggle. as part of my learning journey into data science and python, i explored the data to uncover survival trends among passengers aboard the titanic. There are a few ways to get an initial look at the data. here i use pandas profiling. we can effortlessly get an overview of our variables, including missing values. here we have 12 variables, including our target which named survived. so we have 11 features to use for the model. Explore and run machine learning code with kaggle notebooks | using data from titanic machine learning from disaster.