[{"title":"( 20 个子文件 1.3MB ) house-features:创建了一个回归模型来预测爱荷华州埃姆斯市房屋的销售价格在实际价值的25,000美元以内,并确定对销售价格贡献最大的交互条件","children":[{"title":"house-features-master","children":[{"title":"predicting-house-sale-prices-slides.pdf <span style='color:#111;'> 103.34KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"code","children":[{"title":"02-data-cleaning-eda-visualization.ipynb <span style='color:#111;'> 462.68KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"03-preprocessing-modeling.ipynb <span style='color:#111;'> 92.21KB </span>","children":null,"spread":false},{"title":"04-conclusion.ipynb <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"01-introduction.ipynb <span style='color:#111;'> 3.44KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"02-data-cleaning-eda-visualization-checkpoint.ipynb <span style='color:#111;'> 462.68KB </span>","children":null,"spread":false},{"title":"01-introduction-checkpoint.ipynb <span style='color:#111;'> 3.44KB </span>","children":null,"spread":false},{"title":"04-conclusion-checkpoint.ipynb <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"03-preprocessing-modeling-checkpoint.ipynb <span style='color:#111;'> 92.21KB </span>","children":null,"spread":false},{"title":"submissions-walkthrough-checkpoint.ipynb <span style='color:#111;'> 60.43KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".ipynb_checkpoints","children":[{"title":"predicting-house-sale-prices-slides-checkpoint.pdf <span style='color:#111;'> 103.34KB </span>","children":null,"spread":false},{"title":"README-checkpoint.md <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"house-features-slides-checkpoint.pdf <span style='color:#111;'> 103.09KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"cleaned_data.csv <span style='color:#111;'> 618.53KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"train.csv <span style='color:#111;'> 638.99KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"cleaned_data-checkpoint.csv <span style='color:#111;'> 623.41KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]