spambase-dataset

There are 0 repository under spambase-dataset topic.

• / Machine-Learning-Project-2022

  Final project of the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

  imblearnmachine-learningmatplotlib-pyplotoversamplingpandasscikit-learnspambase-datasetundersampling
  Language:Python 1

• / SpamEmailClassifier-DeepNeuralNet

  Deep Neural Network Spam Email Classifier

  pythonjupyter-notebooktensorflowtensorboardkerasartificial-neural-networkdeep-learningadam-optimizerdropout-kerascross-validationspambase-datasetneural-network
  Language:Jupyter Notebook 1

• / DataAnalysis

  Data Analysis project based on the classification between Spam and No-Spam emails.

  classification-algorithmclustering-algorithmdata-analysisdata-sciencedata-visualizationkmeans-clusteringknnlogistic-regressionpythonspam-classificationspambase-datasetstatistical-analysis
  Language:Jupyter Notebook

• / UCI-Spambase

  This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

  backward-feature-eliminationdata-analysisdecision-treesk-nearest-neighborslogistic-regressionrandom-forestspambase-datasetsupport-vector-machines
  Language:HTML

• / CM2604_ML_CW

  Email Spam detection using KNN and Decision Trees Models Trained using the Spambase database

  decison-treesemail-spam-filterknnspambase-dataset
  Language:Python

• / Decision-Trees-and-Random-Forests

  This is the 3rd Assignment of Statistical Methods in AI, 5th semster, IIITH

  decision-treesclassificationensemble-classifierrandom-forestspambase-dataset
  Language:Jupyter Notebook