文件名称：frontrow:Front Row Analytics DS 项目介绍
文件大小：119.15MB
文件格式：ZIP
更新时间：2024-07-15 18:51:02
Python
前排 Front Row Analytics DS 项目介绍
【文件预览】：
frontrow-master
----.gitignore(101B)
----data()
--------FeatureSet_A.pk1.zip(42.2MB)
--------NeedWords.pk1(96KB)
--------EssayWords.pk1(235KB)
--------BalancedFull.pk1.gz(27.27MB)
--------FeatureSetA_coef_summaries.pk1(1.37MB)
--------plots()
--------BalancedFull_Essay_Vectorized.pk1.gz(40.5MB)
--------BalancedFull_NeedStatement_Vectorized.pk1(13.15MB)
--------test_term_matrix_of_full_labeled_essays.csv(15.01MB)
----ML HW 1_files()
--------ML HW 1_12_0.png(31KB)
--------ML HW 1_9_0.png(18KB)
--------ML HW 1_16_0.png(16KB)
--------image.png(467KB)
----final_report()
--------fall14_ds_project_instructions.pdf(120KB)
--------FinalReport_DonorsChooseAutoScreening.pdf(2.35MB)
----Vlad Lunch 12.3.14.docx(97KB)
----scripts()
--------session-2014-12-10.ipynb(107KB)
--------coef_numerical.csv(2KB)
--------DataLoading.py(5KB)
--------barchart.py(4KB)
--------pipeline.py(2KB)
--------cleanResultantMerge.py(5KB)
--------DataSets.py(2KB)
--------session 2014-12-16.ipynb(72KB)
--------DataMerge.py(8KB)
--------coef_sparse.csv(335KB)
--------model_NLTK_NaiveBayes_Even.py(2KB)
--------readlines.py(1KB)
--------get_random_sample.py(711B)
--------Example_sklearn_sparse_text_classification.py(10KB)
--------working_JMJ4_resourceoverlap.py(337B)
--------coef_binary.csv(22KB)
--------notebooks()
--------model_NLTK_NaiveBayes.py(1KB)
--------utils.py(1KB)
--------UnderstandingUnicode.py(864B)
--------oldfiles()
--------FeatureGeneration.py(9KB)
--------Statistics.py(2KB)
--------model_logistic.py(1KB)
--------working_JMJ3_graphs.py(6KB)
--------working_JMJ.py(5KB)
--------join_essays_to_labels.py(2KB)
--------checkData.py(413B)
--------essayAnalysis.py(662B)
--------working_JMJ2.py(13KB)
--------checkforduplicates.py(1KB)
--------TextProcessing.py(7KB)
--------model_BalancedDatasets.py(1KB)
--------hdf5.py(741B)
----README.md(59B)
----screener_console.png(615KB)
----ML HW 1.ipynb(767KB)
----repo-setup.sh(73B)