Kaggle Titanic example
-
Updated
Nov 26, 2019 - Python
Kaggle Titanic example
Training models with Apache Spark, PySpark for Titanic Kaggle competition
Analyse the Titanic Data Set from Kaggle and predict a classification- survival or deceased
A Keras/TensorFlow + XGBoost ensemble Neural Network stack.
Cleaning data and building a classification algorithm for Kaggle's Spaceship Titanic competition. (Accuracy = 80.5)
hand code for application and software design practice
Compare Machine Learning algorithms (Classification and Regression)
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
Deep Learning using Tensorflow for the "Titanic: Machine Learning from Disaster" Kaggle competition.
My Solutions to Code-writing Exercises of Data Camp's Tutorial, "Kaggle Python Tutorial on Machine Learning".
This Repository contains some Machine Learning related stuffs for beginners in ML.
Solving different classification problems on Kaggle
A "hello world" level program for ML beginners.
Implementation of Naïve Bayes Classifier for Titanic Dataset. A Naive Bayes classifier is a probabilistic machine learning model based on Bayes' Theorem.
Kaggle's Titanic Machine Learning Challenge
solutions for kaggle beginner problem
DeepLearning in TensorFlow
kaggle titanic solution
kaggle competition - Titanic: Machine Learning from Disaster
Add a description, image, and links to the kaggle-titanic topic page so that developers can more easily learn about it.
To associate your repository with the kaggle-titanic topic, visit your repo's landing page and select "manage topics."