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raghav19980730 / Telecom-Customer-Churn

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The project involves analyzing certain issues of customer churn faced by telecom companies. Models are required to be built so as to predict whether a customer will cancel their service in the future or not and then model comparison measures are made for taking interpretation and recommendations from the best model.

naive-bayes-classifier accuracy logistic-regression outlier-detection sensitivity multicollinearity knn-classification auc-roc-curve
  • Updated Dec 9, 2021
  • R

Arjithab / Toxic-Comment-Classification

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A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).

visualization r text-classification specificity wordcloud naive-bayes-classifier dimensionality-reduction recall logistic-regression sensitivity text-processing svd tfidf precision evaluation-metrics part-of-speech-tagger lemmatization classification-algorithims xgboost-model classification-model
  • Updated Oct 20, 2019
  • R

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