Wine Classification using Machine learning algorithms
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Updated
Oct 10, 2023 - Jupyter Notebook
Wine Classification using Machine learning algorithms
extracting knowledge about indian stock market IPOs by analysing different types of clustering and graph plots for visualization.
This repository contains data analysis programs in the Python programming language.
Machine learning applied to ellipsometry
[Data Analysis] Project in 2022 - Selection of additional areas for elementry care facilities, Used 8 Clustering methods
Group fictional customers via clustering, using two sklearn algorithms (Birch and MiniBatchKMeans).
Classification of rice grains into two types: Cammeo and Osmancik using Random Forest, LogReg, GaussianMixture, Birch Clustering
Modern techniques and thoughts on Natural Language Processing and Sentiment Analysis. Includes Birch Spherical K-Means Clustering.
Sklearn, K-means Clustering, Hierarchical Clustering, DBSCAN, Mean Shift Clustering, Gaussian Mixture Models (GMM), Spectral Clustering, Affinity Propagation, OPTICS (Ordering Points to Identify the Clustering Structure), Birch (Balanced Iterative Reducing and Clustering using Hierarchies), marketing_campaign
Sentiment Analysis with Spark Streaming
Music Recommendation System using Unsupervised Machine Learning Clustering Methods using K-Means, Fuzzy C Mean DBSCAN, Gaussian Mixture Model, BIRCH and Agglomerative Clustering
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