markcassar

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

markcassar

library(ggplot2)
library(dplyr)

titanic <- read.csv("data/titanic3.csv", stringsAsFactors=FALSE)
titanic <- tbl_df(titanic)

titanic <- mutate(titanic, Survived = ifelse(survived==0, "Did not survive", "Survived") )
titanic <- select(titanic, -survived)
titanic <- mutate(titanic, count=1)
titanic <- filter(titanic, embarked != "")