In this challenge it’s not loading the chart that shows how close my model is to zero and I’m not sure what is causing it.
My code is here:
import app
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.models import Sequential
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras import layers
from tensorflow.keras.layers import InputLayer
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import Normalizer
from sklearn.metrics import r2_score
Do extensions code below
if you decide to do the Matplotlib extension, you must save your plot in the directory by uncommenting the line of code below
dataset = pd.read_csv(‘admissions_data.csv’)
labels = dataset.iloc[:, 1]
features = dataset.iloc[:, 0:1]
features_train, features_test, labels_train, labels_test = train_test_split(features, labels, test_size = 0.20, random_state=23)
ct = StandardScaler()
features_train_set = ct.fit_transform(features_train)
features_test_set = ct.transform(features_test)
my_model = Sequential()
input = InputLayer(input_shape = (features.shape[1],))
my_model.add(input)
my_model.add(Dense(16, activation=‘relu’))