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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

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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