Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with titanic-kaggle
A curated list of projects in awesome lists tagged with titanic-kaggle .
https://github.com/aliosmankaya/DataScienceProjects
This repository for my Data Science, Machine Learning and Deep Learning projects. I want to share my work on this areas.
breast-cancer-wisconsin chest-xray classification data-science deep-learning imagedatagenerator insurance kaggle keras machine-learning matplotlib-pyplot numpy pandas python regression seaborn tensorflow tensorflow2 titanic-kaggle
Last synced: 08 Aug 2024
https://github.com/sonu275981/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
ipython-notebook kaggle-competition machine-learning python titanic-kaggle
Last synced: 27 Sep 2024
https://github.com/dionixius7/titanic-disaster-ml-model
This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances
data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction
Last synced: 28 Sep 2024
https://github.com/apfirebolt/csv-parser-in-html-javascript
A CSV parser created in HTML and Javascript
bulma-css bulma-css-framework bulma-ui css3 csv-parser csv-parsing html5 jquery titanic-dataset titanic-kaggle
Last synced: 01 Oct 2024
https://github.com/sanjiv856/machine_learning_scikit-learn
Repository for machine learning in Python using Scikit-learn.
pipelines python scikit-learn sklearn titanic-kaggle titanic-survival-prediction
Last synced: 26 Sep 2024
