Samuel Everett samueleverett01

## Simplex-Matrix.ipynb

      
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                samueleverett01
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## COS-KNN.ipynb

      
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              June 23, 2020 15:02
            
              
                A K-NN model that outperforms standard Scikit-Learn K-NN classifiers.
              
          
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## SKL-KNN.ipynb

      
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                samueleverett01
                / SKL-KNN.ipynb
            
            
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              March 28, 2018 22:12
            
              
                K-NN model in Scikit-Learn
              
          
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## craps-gram.cpp
//This program implements a simple game of craps using some random number functions
#include <iostream>
#include <cmath>
#include <cstdlib>
#include <ctime>
using namespace std;

int rollDice();

int main()

## Chip-Game.py
from random import choice
from tqdm import tqdm

trials = 10000000  # number of times the game is played (10,000,000)
lose = 0
win = 0

for game in tqdm(range(1, trials)):
    options = [1, 2, 3, 4, 5, 6]  # can roll any of these numbers
    chips = 1  # starting point for each game

## Pi.py
from random import random
from math import pow, sqrt

#set the number of trials that will be run to calculate pi
trial=10000000
hits=0.0
throws=0.0

# Monte Carlo step
	//This program implements a simple game of craps using some random number functions
	#include <iostream>
	#include <cmath>
	#include <cstdlib>
	#include <ctime>
	using namespace std;

	int rollDice();

	int main()
	from random import choice
	from tqdm import tqdm

	trials = 10000000 # number of times the game is played (10,000,000)
	lose = 0
	win = 0

	for game in tqdm(range(1, trials)):
	options = [1, 2, 3, 4, 5, 6] # can roll any of these numbers
	chips = 1 # starting point for each game
	from random import random
	from math import pow, sqrt

	#set the number of trials that will be run to calculate pi
	trial=10000000
	hits=0.0
	throws=0.0

	# Monte Carlo step