GitHub - shrey-gupta/PM25_transfer_learning: Prediction of PM 2.5 using transfer learning approaches.

Name		Name	Last commit message	Last commit date
AQ_UCI_Regression.ipynb		AQ_UCI_Regression.ipynb
ActiveLearningUCI_NOx.ipynb		ActiveLearningUCI_NOx.ipynb
ActiveSampling.py		ActiveSampling.py
ActivelearningBeijing.ipynb		ActivelearningBeijing.ipynb
ActivelearningUCI_O3.ipynb		ActivelearningUCI_O3.ipynb
AdaBoostR2_.py		AdaBoostR2_.py
CASP_regression.ipynb		CASP_regression.ipynb
CASP_regression.py		CASP_regression.py
CNN_regression.ipynb		CNN_regression.ipynb
CS130R_tutorial_practice.ipynb		CS130R_tutorial_practice.ipynb
Dataset_ComplexityEstimation.ipynb		Dataset_ComplexityEstimation.ipynb
ErrorPlot_.ipynb		ErrorPlot_.ipynb
GridCNN.ipynb		GridCNN.ipynb
IAMB.py		IAMB.py
IDW_GridData.ipynb		IDW_GridData.ipynb
IWKRR_Demo.py		IWKRR_Demo.py
IW_KRR.py		IW_KRR.py
India_MapPlot.ipynb		India_MapPlot.ipynb
MapPlot.py		MapPlot.py
Negative_transfer_experiment.ipynb		Negative_transfer_experiment.ipynb
PM25gridCNN.ipynb		PM25gridCNN.ipynb
Profiling_StdReg.ipynb		Profiling_StdReg.ipynb
Profiling_US_2011.ipynb		Profiling_US_2011.ipynb
PyIAMB.py		PyIAMB.py
RA_largedata_results3.ipynb		RA_largedata_results3.ipynb
RA_largedata_results_abalation.ipynb		RA_largedata_results_abalation.ipynb
RA_smalldata_results.ipynb		RA_smalldata_results.ipynb
RegAnalysisStd_largedata.ipynb		RegAnalysisStd_largedata.ipynb
RegAnalysisStd_smalldata.ipynb		RegAnalysisStd_smalldata.ipynb
RegAnalysisStd_smalldata_KMM.ipynb		RegAnalysisStd_smalldata_KMM.ipynb
RegAnalysis_P1.ipynb		RegAnalysis_P1.ipynb
RegAnalysis_P2.ipynb		RegAnalysis_P2.ipynb
RegAnalysis_Q1.ipynb		RegAnalysis_Q1.ipynb
RegAnalysis_Q2.ipynb		RegAnalysis_Q2.ipynb
RegAnalysis_R1.ipynb		RegAnalysis_R1.ipynb
RegAnalysis_Scientific.ipynb		RegAnalysis_Scientific.ipynb
RegAnalysis_US.ipynb		RegAnalysis_US.ipynb
RegAnalysis_US_2.ipynb		RegAnalysis_US_2.ipynb
RegAnalysis_US_3.ipynb		RegAnalysis_US_3.ipynb
RegressionAnalysis.ipynb		RegressionAnalysis.ipynb
StdReg_distributed.ipynb		StdReg_distributed.ipynb
TL_Boost_AQI_Data.ipynb		TL_Boost_AQI_Data.ipynb
TL_IWKRR_AQIData.ipynb		TL_IWKRR_AQIData.ipynb
TL_IWKRR_RegressionData.ipynb		TL_IWKRR_RegressionData.ipynb
TL_USdata.py		TL_USdata.py
Test_IAMB.py		Test_IAMB.py
Test_Plot.py		Test_Plot.py
TransferLearning.py		TransferLearning.py
TransferLearning_test.py		TransferLearning_test.py
TransferLearning_test3.py		TransferLearning_test3.py
TransferLearning_testing.py		TransferLearning_testing.py
TwoStageTrAdaBoostR2.py		TwoStageTrAdaBoostR2.py
UCI_Italian_x.ipynb		UCI_Italian_x.ipynb
UCI_regression.ipynb		UCI_regression.ipynb
US18_distributed.ipynb		US18_distributed.ipynb
US_2018.ipynb		US_2018.ipynb
US_MulitsetPlot.ipynb		US_MulitsetPlot.ipynb
US_new_dataset.ipynb		US_new_dataset.ipynb
UTrAdaBoost.py		UTrAdaBoost.py
Visualizing_data.py		Visualizing_data.py
abalone_regression.py		abalone_regression.py
ailerons_regression.py		ailerons_regression.py
auto_regression.py		auto_regression.py
beijingAQ_regression.py		beijingAQ_regression.py
beijingdata_stradaboost.py		beijingdata_stradaboost.py
beijingdata_tradaboost.py		beijingdata_tradaboost.py
compact_regression.py		compact_regression.py
concrete_regression.py		concrete_regression.py
continous.py		continous.py
curatingUS.py		curatingUS.py
discrete.py		discrete.py
elevators_regression.py		elevators_regression.py
entropy_estimators.py		entropy_estimators.py
example1.py		example1.py
find_neighbors_geodist.py		find_neighbors_geodist.py
georgia_TL.py		georgia_TL.py
gsq_testdata.py		gsq_testdata.py
housing_regression.py		housing_regression.py
ipython_cell_input.py		ipython_cell_input.py
italianAQ_regression.py		italianAQ_regression.py
italiandata_stradaboost.py		italiandata_stradaboost.py
italiandata_tradaboost.py		italiandata_tradaboost.py
kinematics_regression.py		kinematics_regression.py
newtwoStage_TrAdaBoostR2.py		newtwoStage_TrAdaBoostR2.py
parkinsons_regression.ipynb		parkinsons_regression.ipynb
parkinsons_regression.py		parkinsons_regression.py
plots_matplot_markers_legends.py		plots_matplot_markers_legends.py
poletelecomm_regression.py		poletelecomm_regression.py
predictMSD_regression.ipynb		predictMSD_regression.ipynb
predictMSD_regression.py		predictMSD_regression.py
regtransferBoost.py		regtransferBoost.py
seedingSampling.py		seedingSampling.py
stradaboostr2.py		stradaboostr2.py
study2_mturk.ipynb		study2_mturk.ipynb
superconduct_regression.ipynb		superconduct_regression.ipynb
superconduct_regression.py		superconduct_regression.py
test_pm25.ipynb		test_pm25.ipynb
testing_cutoML.py		testing_cutoML.py
two_TrAdaBoostR2.py		two_TrAdaBoostR2.py
uci_aqi_TL.py		uci_aqi_TL.py

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Prediction of PM 2.5 using transfer learning approaches.

ensemble-learning pollution-prediction statistical-analysis transfer-learning

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