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Utopia / dantro
GNU General Public License v3.0 or laterdantro is a python package for handling, transforming, and visualizing hierarchically organized data.
Integrated into data-intensive projects, it supplies an easy way to define a customizable, configuration-based data processing pipeline. See utopya for an example.
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Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)
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Este repositorio contiene los dos casos de estudio realizados como parte del Diplomado de Extensión en Data Science. En ambos casos, se utilizaron técnicas de programación en Python y Data Science para analizar conjuntos de datos y extraer información valiosa.
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A Python module, primarily on linear and multiple regression including normalizing data, computing hypothesis, and evaluating cost.
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This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.
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Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn
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Code from mechanic physics labs (university course)
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My attempts to solve homework from the Moscow Institute of Physics and Technology course
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All left code from labs 1-3 years(university studing)
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Collection of simple code snippets and tasks in python
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Raw project code to complete labs of statistical radiophysics (university course)
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Collection of completed data-mining (university course) on python
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Simple raw code for plotting graphs to one of conferences
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Simple programs to plot graphs for institute labs
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Raw small task to find minima in function of 2 points
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Prediction of age from X-Ray images of hand bones using deep learning models. We used 3 models: Shallow, ResNet50, and InceptionV4. The best result achieved was with a mean absolute error of 10 months using InceptionV4. The preprocessing of data included computer vision techniques like CLAHE filter and reducing channels, and also creativities such as using the Google MediaPipe library to detect hands and crop on them.
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Финальная работа по курсу Введение в DS от Skillbox. Цель: анализ данных сервиса СберАвтоподписка, предсказание совершения целевого действия пользователя и подготовка модели к деплою в продакшн. Метрика: ROC-AUC
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This project was developed to understand how Tensorflow works using Python
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Draw ellipse of planet orbit from astronomics data.
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