dubkov

https://archive.ics.uci.edu/ml/datasets/Census+Income
https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.names
https://archive.ics.uci.edu/ml/machine-learning-databases/adult/

dubkov

import serial
from time import sleep
ser = serial.Serial('/dev/ttyUSB0') 
ser.baudrate = 115200

while (1):
	line = ser.readline()
	line = line.decode("utf-8")
	first_param, second_param = line.split(",")
	print(int(first_param), int(second_param))

dubkov

#include <stdio.h>
#include "xtimer.h"
#include "timex.h"
#include "periph/gpio.h"

#define MY_LED_1 GPIO_PIN(PORT_C,8)

/* set interval to 1 second */
#define INTERVAL (1U * US_PER_SEC)

dubkov

APPLICATION = threads
RIOTBASE ?= $(CURDIR)/../../RIOT
BOARD ?= stm32f0discovery
USEMODULE += xtimer
CFLAGS += -DDEVELHELP
QUIET ?= 1

FEATURES_REQUIRED += periph_timer
FEATURES_REQUIRED += periph_gpio

dubkov

import os
import numpy as np

imported_data = []

dir_paths = ['./data/movie_review/neg/', './data/movie_review/pos/']

for dir_path in dir_paths:
    for filename in os.listdir(dir_path):
        with open(dir_path + "/" + filename, 'r') as content_file:

dubkov

import numpy as np
from sklearn import model_selection as ms
from sklearn import tree

imported_data = []

for line in open("transfusion.data","r"):
    line = line.split(",")
    line = map(int,line)
    imported_data.append(line)

dubkov

import numpy as np
from sklearn import model_selection

from sklearn import tree

imported_data = []

for line in open('transfusion.data','r'):
    line = line.split(",")
    line = map(int,line)

dubkov

import numpy as np
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
imported_data = []
for line in open('transfusion.data', 'r'):
    line = line.split(",")
    line = map(int,line)
    imported_data.append(line)
all_data = np.array(imported_data)
X = all_data[:,:4]

dubkov

// BUTTON WITHOUT THREAD


#include <stdio.h>
#include "periph/gpio.h"

#include "xtimer.h"
#include "timex.h"

#include <string.h>

dubkov

НОТЫ
0001	C1
0002	D1
0003	E1
0004	F1
0005	G1
0006	A1
0007	B1
0008	C2
0009	гамма