data science
Projects with this topic
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Este proyecto es material de la materia Laboratorio de Datos del Instituto de Cálculo de la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aries. Icon by Flaticons
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En este trabajo se varían distintos hiperparámetros de una CNN para mejorar la clasificación multiclase de imágenes
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Evaluación de distintos modelos para clasificar aguas entre potables y no potables
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Search for patterns in river water samples data
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[Python] Step-by-step Data Science project in accordance with Data Science pipeline in practice to build a predictive model for average salary of job listings
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Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información
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La junta directiva de la cadena de supermercados Universal Food ha observado una estabilización en sus ventas y busca comprender cómo mejorar la relación con sus clientes, entendiendo sus hábitos de compra, para ofrecerles un servicio de mayor calidad. El objetivo es proporcionarles una experiencia de compra más personalizada, rápida y efectiva.
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This project I created to show how to develop a docker image to use for data science applications
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This project contains the source files I used in a free-lance project for a book reseller.
Python environment setup SQL (mariadb) database configuration setup of a Python-mariadb connector Data enrichment with the seller's local currency value in time. Data analysis with Python [pandas, scikit-learn, matplotlib, seaborn] Brief interpretation of the data is present in the notebook.Updated -
Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn
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(Code and analysis in Spanish) This project tests a number of statistics based and machine-learning based classifiers in order to find the best suited one to predict which clients will respond to a given advertisement, knowing their purchased services, income level and other characteristics.
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Calculation of covariance of cosmological maps in the BINGO radio telescope pipeline.
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I created an application using Keras framework to aid doctors in classifying breast tumors as benign or malignant using advanced statistical regression and Neural Networks, supported by a research study to evaluate model performance.
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This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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Code used to process the recorded data
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This repository contains supplemental code and examples for Hands-On Healthcare Data, by Andrew Nguyen, and published by O'Reilly
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