(29个子文件12MB)哈佛大学能耗预测项目(PredictionofBuildingsEnergyConsumption)代码+分析过程
prediction_of_buildings_energy_consumption_notebook
energyWitness3.png 331.44KB
energyWitness1.png 140.30KB
Weekly-electricity.jpg 132.77KB
chilledwaterandsteam.jpg 48.85KB
chilledwaterandsteamconsumption-witharrows.png 305.58KB
exploratoryanalysis.jpg 486.49KB
summary_hourly2.png 39.07KB
summary_daily2.png 54.81KB
cwandsteamsupply.png 2.36MB
hourlyelectricity.png 283.03KB
gp_dailysteam.png 97.77KB
results_hourlyElectricity.png 20.36KB
Part4.4&4.5Prediction-RandomForestsandK-NearestNeighbours-DEC10.ipynb 1.62MB
Part1-3ProjectOverview,DataWranglingandExploratoryAnalysis-DEC10.ipynb 4.98MB
Part5-7Summary,ConclusionandDiscussion-DEC10.ipynb 9.53KB
Part4.3Prediction-GaussianProcessRegression-DEC10.ipynb 1.88MB
Part4.4&4.5Prediction-RandomForestsandK-NearestNeighbours-DEC10-checkpoint.ipynb 1.62MB
Part4.3Prediction-GaussianProcessRegression-DEC10-checkpoint.ipynb 1.88MB
Part1-3ProjectOverview,DataWranglingandExploratoryAnalysis-DEC10-checkpoint.ipynb 4.98MB
Part4.1&4.2LinearRegressionandSupportVectorRegression-checkpoint.ipynb 2.03MB
Part5-7Summary,ConclusionandDiscussion-DEC10-checkpoint.ipynb 9.53KB
linear_regression-final-Copy0-checkpoint.ipynb 2.03MB
Part4.1&4.2LinearRegressionandSupportVectorRegression.ipynb 2.03MB
[{"title":"(29个子文件12MB)哈佛大学能耗预测项目(PredictionofBuildingsEnergyConsumption)代码+分析过程","children":[{"title":"prediction_of_buildings_energy_consumption_notebook","children":[{"title":"Pics","children":[{"title":"energyWitness3.png <span style='color:#111;'>331.44KB</span>","children":null,"spread":false},{"title":"energyWitness1.png <span style='color:#111;'>140.30KB</span>","children":null,"spread":false},{"title":"Weekly-electricity.jpg <span style='color:#111;'>132.77KB</span>","children":null,"spread":false},{"title":"chilledwaterandsteam.jpg <span style='color:#111;'>48.85KB</span>","children":null,"spread":false},{"title":"chilledwaterandsteamconsumption-witharrows.png <span style='color:#111;'>305.58KB</span>","children":null,"spread":false},{"title":"exploratoryanalysis.jpg <span style='color:#111;'>486.49KB</span>","children":null,"spread":false},{"title":"summary_knn.png <span style='color:#111;'>60.59KB</span>","children":null,"spread":false},{"title":"summary_hourly2.png <span style='color:#111;'>39.07KB</span>","children":null,"spread":false},{"title":"summary_svr.png <span style='color:#111;'>148.12KB</span>","children":null,"spread":false},{"title":"summary_daily2.png <span style='color:#111;'>54.81KB</span>","children":null,"spread":false},{"title":"cwandsteamsupply.png <span style='color:#111;'>2.36MB</span>","children":null,"spread":false},{"title":"summary_rf.png <span style='color:#111;'>59.21KB</span>","children":null,"spread":false},{"title":"summary_lr.png <span style='color:#111;'>230.68KB</span>","children":null,"spread":false},{"title":"hourlyelectricity.png <span style='color:#111;'>283.03KB</span>","children":null,"spread":false},{"title":"summary_gp.png <span style='color:#111;'>199.64KB</span>","children":null,"spread":false},{"title":"gp_dailysteam.png <span style='color:#111;'>97.77KB</span>","children":null,"spread":false},{"title":"results_hourlyElectricity.png <span style='color:#111;'>20.36KB</span>","children":null,"spread":false}],"spread":false},{"title":"Part4.4&4.5Prediction-RandomForestsandK-NearestNeighbours-DEC10.ipynb <span style='color:#111;'>1.62MB</span>","children":null,"spread":false},{"title":"Part1-3ProjectOverview,DataWranglingandExploratoryAnalysis-DEC10.ipynb <span style='color:#111;'>4.98MB</span>","children":null,"spread":false},{"title":"Part5-7Summary,ConclusionandDiscussion-DEC10.ipynb <span style='color:#111;'>9.53KB</span>","children":null,"spread":false},{"title":"Part4.3Prediction-GaussianProcessRegression-DEC10.ipynb <span style='color:#111;'>1.88MB</span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"Part4.4&4.5Prediction-RandomForestsandK-NearestNeighbours-DEC10-checkpoint.ipynb <span style='color:#111;'>1.62MB</span>","children":null,"spread":false},{"title":"Part4.3Prediction-GaussianProcessRegression-DEC10-checkpoint.ipynb <span style='color:#111;'>1.88MB</span>","children":null,"spread":false},{"title":"Part1-3ProjectOverview,DataWranglingandExploratoryAnalysis-DEC10-checkpoint.ipynb <span style='color:#111;'>4.98MB</span>","children":null,"spread":false},{"title":"Part4.1&4.2LinearRegressionandSupportVectorRegression-checkpoint.ipynb <span style='color:#111;'>2.03MB</span>","children":null,"spread":false},{"title":"Part5-7Summary,ConclusionandDiscussion-DEC10-checkpoint.ipynb <span style='color:#111;'>9.53KB</span>","children":null,"spread":false},{"title":"linear_regression-final-Copy0-checkpoint.ipynb <span style='color:#111;'>2.03MB</span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'>34B</span>","children":null,"spread":false},{"title":"Part4.1&4.2LinearRegressionandSupportVectorRegression.ipynb <span style='color:#111;'>2.03MB</span>","children":null,"spread":false}],"spread":true}],"spread":true}]