111.zip机器学习神经网络数据预处理

[{"title":"（ 25 个子文件 1.36MB ） 111.zip机器学习神经网络数据预处理","children":[{"title":"111","children":[{"title":"Q汽车数据集神经网络.ipynb <span style='color:#111;'> 86.07KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.17 PM2.5预测.ipynb <span style='color:#111;'> 166.50KB </span>","children":null,"spread":false},{"title":"Q波士顿房价神经网络.ipynb <span style='color:#111;'> 37.86KB </span>","children":null,"spread":false},{"title":"H 基于Apriori关联规则算法，找出数据集basket.txt与retail.txt中最有价值的规则.ipynb <span style='color:#111;'> 57.78KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.3波士顿房价预测.ipynb <span style='color:#111;'> 322.35KB </span>","children":null,"spread":false},{"title":"H 缺失值处理.ipynb <span style='color:#111;'> 149.28KB </span>","children":null,"spread":false},{"title":"Q衣服类神经网络.ipynb <span style='color:#111;'> 155.48KB </span>","children":null,"spread":false},{"title":"W CNN卷积神经网络-猫狗图像识别.ipynb <span style='color:#111;'> 122.79KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.17 情感分析.ipynb <span style='color:#111;'> 61.97KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.10 CNN猫狗.ipynb <span style='color:#111;'> 82.84KB </span>","children":null,"spread":false},{"title":"H 数据分析-聚类-汽车数据集.ipynb <span style='color:#111;'> 42.85KB </span>","children":null,"spread":false},{"title":"Q PM2.5分析_LSTM SimpleRNN GRU.ipynb <span style='color:#111;'> 255.48KB </span>","children":null,"spread":false},{"title":"Q猫狗识别_全连接前馈神经网络.ipynb <span style='color:#111;'> 56.65KB </span>","children":null,"spread":false},{"title":"H 数据分析-分类-汽车满意度数据集.ipynb <span style='color:#111;'> 182.73KB </span>","children":null,"spread":false},{"title":"W CNN卷积神经网络-衣服图像识别.ipynb <span style='color:#111;'> 103.52KB </span>","children":null,"spread":false},{"title":"Q手写识别神经网络 .ipynb <span style='color:#111;'> 82.96KB </span>","children":null,"spread":false},{"title":"H 线性回归-建模预测Boston房价.ipynb <span style='color:#111;'> 482.00KB </span>","children":null,"spread":false},{"title":"W CNN卷积神经网络-手写图像识别.ipynb <span style='color:#111;'> 45.16KB </span>","children":null,"spread":false},{"title":"Q 情感分析航空评价分析_LSTM.ipynb <span style='color:#111;'> 134.28KB </span>","children":null,"spread":false},{"title":"C 航空公司评价情绪预测LSTM.ipynb <span style='color:#111;'> 61.73KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.10 CNN时装.ipynb <span style='color:#111;'> 67.22KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.10 CNN手写数字.ipynb <span style='color:#111;'> 36.22KB </span>","children":null,"spread":false},{"title":"H 数据预处理 vehicles_400数据集.ipynb <span style='color:#111;'> 106.61KB </span>","children":null,"spread":false},{"title":"H 数据预处理 snsdata数据集.ipynb <span style='color:#111;'> 250.96KB </span>","children":null,"spread":false},{"title":"201931112050036 黄莹羚 5.10 CNN猫狗 - 副本.ipynb <span style='color:#111;'> 87.44KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]