estebanz01

defmodule Distances do
  def euclidean(a, b) when length(a) > 0 and length(b) > 0 and length(a) == length(b) do
    # We zip both lists into one, then we reduce it to the euclidean calculation.
    # Enum.zip_reduce(a, b, 0, fn) <- as a shortcut.
    Stream.zip(a, b)
    |> Enum.reduce(0, fn {x, y}, accumulator ->
      accumulator + (x - y) ** 2
    end)
    |> :math.sqrt()
  end

estebanz01

source 'https://rubygems.org'

gem 'faker'

estebanz01

/*
 * CSS chat
 */

body {
  top: 0;
  left: 0;
  background-color: #caccd1;
  margin-left: 35%;
  margin-right: 35%;

estebanz01

RADICADO,FECHA,HORA,DÍA DE LA SEMANA,CLASE DE VEHICULO,TIPO DE SERVICIO,TIPO DE VICTIMA,SEXO,ESTADO DE BEODEZ,RESULTADO DE BEODEZ,GRAVEDAD,CLASE DE ACCIDENTE,CAUSA,DIRECCIÓN,BARRIO,AREA,Coordenadas
2181714,06/30/2018,2:55 p.m.,sábado,TRACTOCAMION,PUBLICO,Conductor,Masculino,No,N/A,SOLO DAÑOS,Choque,No mantener distancia de seguridad,Carrera 48 Calle 50  Sur,LAS VEGAS,Urbana,
2181733,06/30/2018,9:50 a.m.,sábado,BUS,PUBLICO,Conductor,Masculino,No,N/A,SOLO DAÑOS,Choque,Desobedecer senales,Carrera 50 Calle 46  Sur,LAS VEGAS,Urbana,"(6.16131219, -75.603198185)"
2181733,06/30/2018,9:50 a.m.,sábado,AUTOMOVIL,PARTICULAR,Conductor,Masculino,No,N/A,SOLO DAÑOS,Choque,Desobedecer senales,Carrera 50 Calle 46  Sur,LAS VEGAS,Urbana,"(6.16131219, -75.603198185)"
2181717,06/30/2018,10:45 p.m.,sábado,MOTOCICLETA,PARTICULAR,Motociclista,Masculino,No,N/A,SOLO DAÑOS,Choque,Desobedecer senales,Calle 37  Sur Carrera 36,MESA,Urbana,"(6.168044613, -75.583236971)"
2181717,06/30/2018,10:45 p.m.,sábado,AUTOMOVIL,PARTICULAR,Conductor,Mas

estebanz01

def x_sub(index, lower, h)
  x_k = lower + (index * h)
end

def booles_rule(lower, upper, &block)
  h = (upper - lower) / 4.0

  sum = 0
  sum += 7 * yield(lower)
  sum += 32 * yield(x_sub(1, lower, h))

estebanz01

#!/usr/env ruby

def derivative_of(f:, x:)
  h = 1e-14 # 1 * 10^-14 this is the smallest number ruby can handle in calculations before defaulting result to zero.

  (f.call(x + h) - f.call(x)) / h # This is a naive approach to calculate limit of f(x) in x.
end

# Newton's Method, where we calculate f(x), f'(x) and calculate error.
def find_root(f:, seed:, iterations: nil, error_level: nil)

estebanz01

# I got this working with code from https://datascienceplus.com/random-forests-in-r/
# It is an excelent resource!
set.seed(50)
bikeperday <- read.csv('Bike-Sharing-Dataset/day.csv')

# Calculate sample
sample <- sample.int(n = nrow(bikeperday),
                     size = floor(.75 * nrow(bikeperday)),
                     replace = F)

estebanz01

Keybase proof

I hereby claim:

• I am estebanz01 on github.
• I am estebanz01 (https://keybase.io/estebanz01) on keybase.
• I have a public key ASBd7idQRbpevu7U2Qy50R8IEZPCf9scloEWWPAoy-bLFwo

To claim this, I am signing this object:

estebanz01

This Gist confirms the Linked Identity in my OpenPGP key, and links it to this GitHub account.

Token for proof:
[Verifying my OpenPGP key: openpgp4fpr:d97d4f52f25a2a8d5e8874a061dea3a7bf851a0f]

estebanz01

#include <iostream>
#include <string>
#include <iomanip>

using namespace std;

class Leave {
  public:
    int idNumber;
    string name;