Kaggle Titanic example
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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
Cleaning data and building a classification algorithm for Kaggle's Spaceship Titanic competition. (Accuracy = 80.5)
A Keras/TensorFlow + XGBoost ensemble Neural Network stack.
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.
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.
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.
solutions for kaggle beginner problem
Kaggle's Titanic Machine Learning Challenge
DeepLearning in TensorFlow
Repositório dedicado a armazenar os arquivos e anotações do meu primeiro desafio de competição de Machine Learning no Kaggle.
kaggle titanic solution
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