Trabajos universitarios

07/05/2024

06/05/2024

05/05/2024

05/02/2024

Diseño de redes convolucionales y analista de imagenes.

13/01/2024

14/12/2023

from tkinter import *
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pandastable import Table, TableModel
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import warnings
warnings.filterwarnings("ignore")

def imprimir():
nombre = entry_1.get()
print(nombre)
entry_1.delete(0, END)

df = pd.read_csv("iris.csv")


raiz = Tk()
raiz.title("SOFTWARE DE REDES NEURONALES")
raiz.geometry("800x800")

marco_1 = Frame(raiz, width=400, height=300)
marco_1.place(x=0, y=0)
marco_1.config(bd=20, relief="sunken")

boton_1 = Button(marco_1, text="Oprima", command=imprimir)
boton_1.place(x=0, y=0)

label_1 = Label(marco_1, text="Nombre:")
label_1.place(x=0, y=30)

entry_1 = Entry(marco_1)
entry_1.place(x=0, y=50)

marco_2 = Frame(raiz, width=400, height=200)
marco_2.place(x=0, y=350)

table_1 = Table(marco_2, dataframe=df)
table_1.place(x=0, y=0)
table_1.show()

marco_3 = Frame(raiz, width=400, height=300)
marco_3.place(x=400, y=0)
marco_3.config(bd=20, relief="sunken")

fig = Figure(figsize=(5, 4), dpi=100)
t = np.arange(0, 3, .01)
fig.add_subplot(111).plot(t, 2 * np.sin(2 * np.pi * t))
canvas = FigureCanvasTkAgg(fig, master=marco_3)
canvas.draw()
canvas.get_tk_widget().place(x=0, y=0)

raiz.mainloop()

02/12/2023

Analisis de series de tiempo.

https://colab.research.google.com/drive/16xuQFXHbbYWgi0WtHBsztkd9bsO8G8kX?usp=sharing

20/11/2023

Aplicacines de Inteligencia Artificial, 3219260374.
https://colab.research.google.com/drive/1KQ0WWWQnt6BxVewrwunk_yLHXEN8wgbs?hl=es =CZf6xmsjmNr-

06/11/2023

Aplications in neural networks an machine learnig, 3219260374. https://colab.research.google.com/drive/1FHohLa8HYdm9lQ6FMPvrNJYT7YigCcuA?hl=es

31/07/2023

Procesamiento digital de señales con python (pyaudio, matplotlib, scipy}

29/07/2023

Analisis con Google Earth Engine