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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

rakibhhridoy / HandlingImbalancedDataset-Business

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It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase but by others illegally. Some huge transactions can also done by suspicious figure, it need to catch em.

machine-learning business-intelligence auc recall precision imbalanced-data smote fraud-detection oversampling imbalanced-learning transcations
  • Updated Aug 14, 2020
  • Jupyter Notebook

Aurora-Network-Global / sdg-queries-evaluation-report

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In this study we evaluate the accuracy of our Aurora SDG classification model version 5, to match research papers to the Sustainable Development Goals (SDG's) of the United Nations. The aim of this investigation is to be transparent about the accuracy of the model, because this model might get used in reporting and strategy analysis by Universit…

accuracy recall sdg precision bibliometrics sdgs
  • Updated Jun 10, 2021
  • TeX

Shahrukh2016 / Cardiovascular_Risk_Prediction

Star 2

Predict CHD Risk with Precision: This machine learning model analyzes patient demographics, behaviors, and medical factors to accurately predict the likelihood of developing coronary heart disease within the next 10 years.

python machine-learning random-forest svm exploratory-data-analysis data-transformation model-selection naive-bayes-classifier xgboost classification recall logistic-regression preprocessing feature-engineering knn data-cleaning precision model-evaluation f1-score imbalanced-dataset
  • Updated Jun 4, 2023
  • Jupyter Notebook

Vikash2009 / Capstone-Project-3-Credit-Card-Default-Prediction

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This project presents and discusses data-driven predictive models for predicting the defaulters among the credit card users.About Data Cleaning,Exploratory Data Analysis ,Handling Class Imbalance, Transforming Data , Fitting Different Model ,Cross Validation & Hyperparameter Tunning, Comparison of Model ,Combined ROC Curve, Feature Impotance.

python machine-learning random-forest numpy pandas seaborn classification recall matplotlib precision xgboost-algorithm colab-notebook auc-roc-curve descision-tree xgboost-classifier
  • Updated Sep 11, 2023
  • Jupyter Notebook
Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

neeraj1397 / Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

Star 3

Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.

machine-learning deep-neural-networks deep-learning jupyter-notebook python3 recall convolutional-neural-networks confusion-matrix transfer-learning vgg16 keras-tensorflow f1-score softmax-classifier precision-recall colab-notebook radiography accuracy-metrics covid-19
  • Updated Apr 15, 2021
  • Jupyter Notebook

Wayneotc / Telco-Customer-churn

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This project aims to predict customer churn using machine learning techniques. By understanding the factors that contribute to churn, businesses can take proactive measures to retain customers and maximize their customer base. The project focuses on developing a predictive model using machine learning algorithms to forecast customer churn.

python recall precision datavisualization datacleaning logisticregression dataexploration gridsearch datapreprocessiong
  • Updated Oct 16, 2023
  • Jupyter Notebook

kalthommusa / Udacity-Intro-to-ML-with-TensorFlow

Star 1

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

random-forest tensorflow linear-regression machine-learning-algorithms cross-validation artificial-intelligence supervised-learning accuracy recall logistic-regression adaboost support-vector-machines naive-bayes-algorithm precision decision-tree-classifier bagging perceptron-algorithm
  • Updated Feb 27, 2022
  • Jupyter Notebook

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