목록LinearRegression (2)

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[PyTorch] Mini Batch and Data Load를 이용한 다중 회귀 분석 모델

In [62]: import numpy as np import torch import torch.nn as nn import torch.nn.functional as F In [63]: from torch.utils.data import TensorDataset from torch.utils.data import DataLoader In [64]: X_train = torch.FloatTensor([[73, 80, 75], [93, 88, 93], [89, 91, 90], [96, 98, 100], [73, 66, 70]]) y_train = torch.FloatTensor([[152], [185], [180], [196], [142]]) In [65]: # TensorDataset은 기본적으로 텐서를 ..
Machine Learning, Deep Learning 2021. 2. 14. 17:41
[sklearn,statsmodels] Linear Regression을 이용한 고객별 연간 지출액 예측

02 Linear Regression을 이용한 고객별 연간 지출액 예측(statsmodels 사용)¶ In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns In [2]: data = pd.read_csv('./02 Linear Regression을 이용한 고객별 연간 지출액 예측/ecommerce.csv') In [3]: data.head() Out[3]: Email Address Avatar Avg. Session Length Time on App Time on Website Length of Membership Yearly Amount Spent 0 mstephenson@fe..
Machine Learning, Deep Learning 2021. 1. 22. 23:03
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