데이터 한 그릇

EDA import pandas as pd df = pd.read_csv('C:\\Users\\user\\Desktop\\080228\\deeplearning\\dataset\\sonar.csv', header = None, ) print(df.info()) df[60].unique() 모델 생성 및 학습 from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense from sklearn.preprocessing import LabelEncoder import pandas as pd import numpy as np import tensorflow as tf df = pd.read_csv('C:\\Users..

엄청 간단한 EDA 진행 이후 딥러닝 MODEL 만들 예정 피마 인디언 당뇨병 예측 EDA import pandas as pd pima_df = pd.read_csv('C:\\Users\\user\\Desktop\\080228\\deeplearning\\dataset\\pima-indians-diabetes.csv', names = ['pregnant','plasma','pressure','thickness','insulin','BMI','pedigree','age','class'], header = None) pima_df.info() import seaborn as sns import matplotlib.pyplot as plt plt.figure(figsize = (15,15)) sns.heatma..