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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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Trabajas como científico/a de datos para Data Insider, un reconocido equipo de asesores financieros con presencia global, y te ha sido solicitado que elabores un informe detallado para entender de manera objetiva el comportamiento de grandes corporaciones a nivel mundial a partir del año 2015.
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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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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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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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School project. made a predicter for the next year app sales on google play.
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Joseph Fox-Rabinovitz / is_integer_ufunc
MIT LicenseUfunc for checking if floats contain integers
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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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Polynomial Regression Model single feature and multiple features using scikit-learn. check this project article on medium: https://medium.com/@alhendyrenad/build-a-polynomial-regression-model-in-python-using-scikit-learn-1b5fd31beb02
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Check this article on medium to see further details on this project https://medium.com/@alhendyrenad/build-a-simple-linear-regression-model-using-python-c8ecd27934eb
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Multiple Regression is almost like Simple Linear Regression, but with more than a single independent feature, which means we try to predict a value based on more than one variable.
check this project article on medium: https://medium.com/@alhendyrenad/build-a-multiple-linear-regression-model-using-python-c4d9f9cf4cc7
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Natan Briman / 2048 AI Solver
GNU General Public License v2.0 or later2048 Game AI solver made with Python, and GUI with PyGame. Uses NumPy, openpyxl, pandas.
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