Gany (GanySura)

GanySura

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Location:Indonesia

Twitter:@_frommypov

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Gany's starred repositories

Face-Mask-Detection

Detecting face masks using Python, Keras, OpenCV on real video streams

pyDecision

pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.

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MalwareTrainingSets

Free Malware Training Datasets for Machine Learning

Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

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cluster-statements

A small streamlit app to visualize the output of sentence clustering

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Streamlit-Bigquery-dashboard

Interactive dashboard for clustering analysis

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DBSCAN-Clustering

DBSCAN Clustering on Weather_Station Datasets

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DBSCAN

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) [tutorial]

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Codeigniter_kgb

Aplikasi yang dibangun untuk memudahkan pendataan dan dokumentasi pegawai instansi dalam kenaikan gaji berkala

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KMeans_and_DBScan_Clustering

Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group and dissimilar to the data points in other groups. It is basically a collection of objects on the basis of similarity and dissimilarity between them.

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Clustering

Perform Clustering(Hierarchical, Kmeans & DBSCAN) for the crime data and identify the number of clusters formed and draw inferences.

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Employee-clusters-using-K-means-clustering

Performed the unsupervised machine learning algorithm K-means clustering and divided the employees into two clusters

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kmeans-clustering

This is a python-based implementation of k-Means Algorithm for clustering of salaried employees.

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