Data analysis, clustering algorithms and forecasting for the demand of medicines in french hospitals problem.
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Updated
May 30, 2024 - Jupyter Notebook
Data analysis, clustering algorithms and forecasting for the demand of medicines in french hospitals problem.
This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene. [DOCUMENTED]
This project aims to cluster various cryptocurrencies based on their market performance using machine learning techniques. The analysis involves several key steps: normalizing the data, reducing its dimensionality with Principal Component Analysis (PCA), and using K-Means clustering to identify distinct groups.
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
This project classifies images from the Flower102 dataset using k-means clustering followed by K-Nearest Neighbors (KNN) classification. It optimizes KNN parameters to achieve high accuracy, with the best results obtained using 7 clusters and 5 nearest neighbors.
K-means clustering algorithm using MapReduce.
This project classifies flower images from the Oxford 102 Dataset using K-means clustering for feature extraction and machine learning for classification. It achieves efficient and accurate classification with optimized feature extraction and reduced feature sets.
Music Recommendation by An Exploratory data analysis and Data visualization project using Spotify Data by Python, Numpy, Pandas, Seaborn, SQL
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Workspace for applied problems of probability theory & mathematical statistics class
A script in python to organize your images by similarity.
Customer Segmentation using R
Reports for the course "Elaborazione di dati scientifici"
Visual analytics clustering with radviz and flask
This repo contains meteo-data-mining
A Regression-Based Assessment of Efficiency in Wireless Sensor Network Clustering energy efficiency study
A Julia package for data clustering
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