Closed ashis2004 closed 4 weeks ago
Thank you for creating this issue! π We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! π
Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam.
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Hello @ashis2004! Your issue #581 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
The Titanic Survival Prediction uses machine learning to predict whether a passenger survived the infamous sinking of the Titanic based on various features such as age, gender, passenger class, fare, and more. The project involves data preprocessing, feature engineering, model selection, and training using classification algorithms. Initially, the dataset is cleaned to handle missing values and encode categorical variables. Features that are likely to impact survival chances are carefully selected and transformed. Various machine learning models such as Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines are trained and evaluated to find the best performing model.
Use Case
an educational tool for data scientists and machine learning enthusiasts to understand the full lifecycle of an ML project, from data cleaning and feature engineering to model evaluation and deployment. It provides practical experience in handling real-world datasets and building predictive models. Additionally, this project can be used in academic settings to teach students about historical data analysis and the application of machine learning techniques to solve classification problems.
Benefits
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Priority
High
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