Fabian-Martinez-Rincon

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler

# Definir la clase Perceptrón
class Perceptron:
    def __init__(self, input_size, lr=1, epochs=100):
        self.W = np.zeros(input_size + 1)
        self.epochs = epochs
        self.lr = lr

Fabian-Martinez-Rincon

import os
import pandas as pd

POTENTIAL_TABLE_FIFA = {
    90: 'Sobresaliente',
    80: 'Muy bueno',
    60: 'Bueno',
    -1: 'Regular'
}

Fabian-Martinez-Rincon

Procedure BorrarPos (var rv: regisVector);
var 
    i: integer; 
Begin
    if (1 <= rv.dimL) then 
    begin
        for i:= 2 to rv.dimL  do
            rv.v [ i - 1 ]  :=  rv.v [ i ] ;
        rv.dimL := rv.dimL - 1 ;         
   end;

Fabian-Martinez-Rincon

Fabian-Martinez-Rincon