drzamoramora

import pandas as pd
import numpy as np
from pycaret.classification import *

# load data
data = pd.read_csv("HepatitisCdata.csv")
data = data.drop(labels='Unnamed: 0', axis=1)
data.head(10)

# clean data

drzamoramora

import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt

# use matplotlib to print image in jupyter notebook
def show(img):
    plt.figure(figsize=(10, 16))
    plt.imshow(img, cmap='gray')
    plt.show()
    

drzamoramora

# Dr. Juan Zamora-Mora
# www.doczamora.com 

import cv2 as cv
import numpy as np
import mediapipe as mp

# vertical distance betwen min-max y-axis points. 
def open_len(arr):
    y_arr = []

drzamoramora

import numpy
import random

objetivo_str = "Hola Mundo"

# 1 - Poblacion (set de genes)
poblacion = " abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!.,"

# 2 funcion Fitness
def fitness_fn(nuevo_str,target_str):