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Titanic Survival Prediction Dataset. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. OK, Got it. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected token < in JSON at position 4. keyboard_arrow_up content_copy. SyntaxError: Unexpected token < in JSON at position 4.
Predict survival on the Titanic and get familiar with ML basics.
Mar 8, 2022 · Prepare for your first Kaggle Competition with this step-by-step tutorial. In this tutorial, we will go through the Titanic dataset, analyze it, and submit the results to the actual competition. You have already learned how to fetch the data and import it in your Kaggle Notebook in this tutorial.
Jun 22, 2019 · Tackling the Titanic Dataset with Machine Learning (Kaggle Challenge!) The Titanic dataset is a classic machine learning problem. It provides information about the passengers aboard the Titanic, and the goal is…
This repository serves as your gateway to exploring the rich insights hidden within the Titanic dataset using Python and Kaggle. Delve deep into the realm of classification techniques and machine learning algorithms
Sep 6, 2024 · There will be three main steps in this experiment: The dataset for this experiment is freely available on the Kaggle website. Dataset: 1. gender_submission 2. train 3. test. Now let’s read the training and test data using the pandas data frame. To know the information about each column like the data type, etc we use the df.info () function.
Mar 31, 2022 · Discover the fascinating world of Titanic dataset analysis using Python and Kaggle. This in-depth blog tutorial explores classification techniques and machine learning algorithms. Dive into data preprocessing, feature engineering, and model evaluation.
Dataset: Titanic: Machine Learning from Disaster (available on Kaggle) Description: The dataset contains information about the passengers aboard the Titanic, including features such as age, sex, passenger class, and whether they survived.
In a form of a jupyter notebook, my solution goes through the basic steps of a data science pipeline: Note that I have included a script with stacking for information only as it achive lower score. Competition Website: https://www.kaggle.com/c/titanic. A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition.
Jun 22, 2023 · As with any machine learning model building, I started with exploratory data analysis (EDA) to get a feel for the dataset. Here's my Kaggle notebook if you wanna follow along. To understand the feature provided in the dataset, we can use the data dictionary provided by Kaggle. Output: (891, 12) Check relationships among the features.
