milaan9/Clustering_Algorithms_from_Scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

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RicardoMoya/Data_Science_Introduction_With_Python

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

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SohelRaja/Customer-Churn-Analysis

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

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monk1337/Mixclu

A Python package for unsupervised mixed datatypes clustering

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aadimangla/Mall-Customer-Segmentation

Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways. You can provide different value propositions to different customer groups. Customer segments are usually determined on similarities, such as personal characteristics, preferences or behaviours that should correlate with the same behaviours that drive customer profitability.

Language: Python - Size: 407 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 4

alefabris/information-retrieval-service-elasticsearch

Creation an Information Retrieval Service with ElasticSearch

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agniorf/ICOT-Example

Installation and implementation guidelines of ICOT, a Julia-based interpretable clustering algorithm.

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ShrinivasaPH/ML-Clustering-Countries

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

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MartinMashalov/TechnicalAnalysisTrends

Technical Analysis (TA) investigation with Python. Moving averages included as well as outlier detection using signal processing and smoothing. Included as well is market characteristic detection with hurst exponent analysis.

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SmellyArmure/OC_DS_Project5

Segmentation des clients d'un site e-commerce (OpenClassrooms | Data Scientist | Projet 5)

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stivenramireza/machine-learning-models

Regression, classification, clustering and recommender systems models.

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Dicoding-Addin/BMLP-ADDIN

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Yi-Pin-123/Pyspark-Notes Fork of LinkedInLearning/high-performance-pyspark-advanced-strategies-for-optimal-data-processing-3919191

This repository contains some Pyspark code.

Language: Python - Size: 421 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ITRoselloSignoris/Fraud-Detection-and-Prevention-Model

Final Project for Edvai´s Data Science & MLOps Bootcamp

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CodeWithPraveen/labs-azureml-clustering

Repo for the "Identifying Weather Patterns using Azure ML and Clustering" hands-on lab.

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winston-lin-wei-cheng/Temporal-Enhanced-DeepEmoCluster

The PyTorch implementation of the additional temporal modeling on the DeepEmoCluster framework

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Waghraj1699/machine-learning

This repository consists of the code files of th ML algorithms which I have implemented during the machine learning course.

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AndreMenezesDS/machine_learning_test

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

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ankdeshm/machine-learning-predictions-forecasting

A curated repository of machine learning projects performing predictions, time-series forecasting.

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Sandy0002/Machine-Learning-Exercises

A comprehensive set of programs demonstrating machine learning techniques have been made.

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Jchow2/python-expedia-hotel-booking-searches

How does user aggregate purchasing history and hotel prices affect number of nights stay at hotel over the weekend? Interested in the relationship between hotel price and search criteria of customers.

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OscarFawcett/Graph_Clustering

This repository contains a variety of algorithms designed for graph clustering problems.

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sinaaghaee/Three_Classic_ML_Projects_Regression_Classification_Clustering

House Price Prediction, Heart Disease Detection and Customer Segmentation with Python

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samujjwaal/Modelling-US-Election-Data

Data Modelling on 2018 US midterm Election Data and US Demographic Data. Creating regression, classification and clustering models.

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PetropoulakisPanagiotis/clustering

Clustering methods in C++

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