Title: GitHub - jlu90/Subreddit-Classification: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from r/LifeProTips or r/UnethicalLifeProTips
Open Graph Title: GitHub - jlu90/Subreddit-Classification: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from r/LifeProTips or r/UnethicalLifeProTips
X Title: GitHub - jlu90/Subreddit-Classification: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from r/LifeProTips or r/UnethicalLifeProTips
Description: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from r/LifeProTips or r/UnethicalLifeProTips - jlu90/Subreddit-Classification
Open Graph Description: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from...
X Description: Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from...
Opengraph URL: https://github.com/jlu90/Subreddit-Classification
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| og:image:alt | Used NLP (TF-IDF) and classification algorithms (Logistic Regression, Multinomial Bayes, KNN, Decision Tree, Bagging Classifier, Random Forest, and Voting Classifier) to predict if a post came from... |
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