NumPy

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.

Работа с базой данных PostgreSQL и длинными запросами

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

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.

This project was developed to understand how Tensorflow works using Python 🐍

This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.

School project. made a predicter for the next year app sales on google play.

Ufunc for checking if floats contain integers

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

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

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

A simulation of classical (mathematical) billiards. / Symulacja klasycznych bilardów (matematycznych). Python + NumPy + Matplotlib

2048 Game AI solver made with Python, and GUI with PyGame. Uses NumPy, openpyxl, pandas.

Python implementation of a 1D (and prospectively 2D) quantum molecular dynamics simulation

Foraging simulator for swarm robotics.