twitter_hate_speech
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2021-03-06
15:04:12
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twitter_hate_speech-master.zip （78个子文件） 
twitter_hate_speech-master 
.gitignore 50B deliverables 
Milestone_3.pdf 1.02MB feature_selection_colin_-_Jupyter_Notebook.pdf 1.49MB feature_selection_colin_-_Jupyter_Notebook-merged.pdf 1.71MB Week2_Features_Sean - Jupyter Notebook.pdf 1024KB Week3 ML Implementation - Logistic regression + full dataset_Sean - Jupyter Notebook.pdf 908KB
Hate_Speech_-_Milestone_Four.pptx 613KB Hate_Speech_-_Milestone_Two.pptx 1.77MB Milestone_3-merged.pdf 1.34MB Feature Engineering on Text Data - SZ.pdf 574KB Week2_Features_Sean - with supervised learning W2v.pdf 1.49MB Hate_Speech_-_Milestone_Two.pdf 2.07MB Feature Engineering Text Data - Traditional Strategies_SZ.pdf 590KB Week1_Problem,Dataset, Exploratory Data Analysis-checkpoint - Jupyter Notebook.pdf 985KB Hate_Speech_-_Milestone_One.pptx 809KB data .ipynb_checkpoints Automated Hate Speech Detection and the Problem of Offensive Language Python 3.6-checkpoint.ipynb 39KB labeled_data.csv 2.43MB Automated Hate Speech Detection and the Problem of Offensive Language Python 3.6.ipynb 53KB labeled_data.p 3.18MB Automated Hate Speech Detection and the Problem of Offensive Language.ipynb 82KB readme.md 642B semi_supervised_learning.ipynb 38KB .DS_Store 6KB
sample learning curve.png 27KB transfer_learning tfidf_df.csv 48.64MB .ipynb_checkpoints Independent_Transfer_Learning_SZ-checkpoint.ipynb 36KB labeled_data.csv 2.43MB Independent_Transfer_Learning_SZ.ipynb 34KB trained_embedding.csv 6.03MB df_clean.csv 1MB twitter_feature_array.csv 5.09MB notebooks Final_Week_Feature_Selection_Colin.ipynb 295KB tfidf_df.csv 48.64MB .ipynb_checkpoints Week3 Training curve (separate for memory reasons)-checkpoint.ipynb 8KB Create BOW-checkpoint.ipynb 72B Week3 ML Implementation - Logistic regression + full dataset_Sean-checkpoint.ipynb 456KB Untitled-checkpoint.ipynb 72B Week1_Problem,Dataset, Exploratory Data Analysis-checkpoint-checkpoint.ipynb 85KB Week3 Training curve - Random Forest-checkpoint.ipynb 152KB Final Feature selection _ Sean-checkpoint.ipynb 72B Full dataset cleaned and TFIDF-checkpoint.ipynb 912KB feature_selection_colin-checkpoint.ipynb 1.99MB Final_Week_Feature_Selection_Colin-checkpoint-checkpoint.ipynb 217KB Week2_Features_Sean-checkpoint.ipynb 278KB Random Forest Full Dataset-checkpoint.ipynb 242KB RF and LR on Balanced Set-checkpoint.ipynb 863KB Final Modeling-checkpoint.ipynb 516KB Week3 Stacking-checkpoint.ipynb 5KB Week2_Feature Selection-checkpoint-checkpoint.ipynb 72B Univariate Data Exploration-checkpoint.ipynb 82KB RF and LR on Balanced Set.ipynb 863KB labeled_data.csv 2.43MB Week3 ML Implementation - Logistic regression + full dataset_Sean.ipynb 456KB Week2_Feature Selection-checkpoint.ipynb 74KB feature.csv 5.49MB Create BOW.ipynb 18KB Full dataset cleaned and TFIDF.ipynb 34KB Final Feature selection _ Sean.ipynb 46KB Untitled.ipynb 72B univariate_dataset.csv 10.07MB Week3 Training curve (separate for memory reasons).ipynb 201KB trained_embedding.csv 6.03MB Week3 Training curve - Random Forest.ipynb 151KB Week2_Features_Sean.ipynb 329KB Week3 Stacking.ipynb 36KB twitter_hate.db 8.33MB feature_selection_colin.ipynb 3.51MB Week1_Problem,Dataset, Exploratory Data Analysis-checkpoint.ipynb 912KB Univariate Data Exploration.ipynb 82KB df_clean.csv 969KB Final_Week_Feature_Selection_Colin-checkpoint.ipynb 295KB twitter_feature_array.csv 5.09MB Final Modeling.ipynb 516KB seanz.db 0B Random Forest Full Dataset.ipynb 191KB README.md 473B individual_project_transfer_learning.ipynb 168KB decisionregions.png 38KB
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