There are four projects here that showcases my knowledge of classification, clustering, association rule mining and text mining. The project on classification compared Artificial Neutral Network and K Nearest Neighbor in shill bidding classification. The project on clustering, compared Kmeans and heirarchical clustering methods on facebook sellers
joekwere/Machine-Learning-Algorithms
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Project title: Machine Learning and Data Mining Introduction: This project explores several topics in machine learning and data mining PART 1 Description:In this project, several machine learning and data mining techniques were explored, they include; Classification, Clustering, Association Rule and Text Mining. Data source: https://archive.ics.uci.edu/ml/index.php Files: 1.ANN.ipynb -This file contains the code for Classification using Artificial Neural Network 2.Association_Rule.ipynb - This file contains the code for Association Rule Mining 3.Hierarchical_Clustering.ipynb - This file contains the code for CLustering using Hierarchical Clustering 4.Kmeans_Clustering .ipynb - This file contains the code for Clustering using KMeans Clustering 5.KNN.ipynb - This file contains the code for Classification using K Nearest Neighbour 6.Text_Mining.ipynb - This file containns the code for Text Mining and Sentiment Analysis File Type: .ipynb Application used: Jupyter notebook Requirement: Python libraries
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There are four projects here that showcases my knowledge of classification, clustering, association rule mining and text mining. The project on classification compared Artificial Neutral Network and K Nearest Neighbor in shill bidding classification. The project on clustering, compared Kmeans and heirarchical clustering methods on facebook sellers
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