Projects with this topic
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This project was developed to understand how Tensorflow works using Python
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This jupyter notebook goes through how to use python in you data analysis. Mainly analysis of experiments, such as peak analysis and curve fitting.
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School project. made a predicter for the next year app sales on google play.
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Ufunc for checking if floats contain integers
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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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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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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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A simulation of classical (mathematical) billiards. / Symulacja klasycznych bilardów (matematycznych). Python + NumPy + Matplotlib
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2048 Game AI solver made with Python, and GUI with PyGame. Uses NumPy, openpyxl, pandas.
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Python implementation of a 1D (and prospectively 2D) quantum molecular dynamics simulation
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Foraging simulator for swarm robotics.
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As the first project for Talentsprint's Techwise, our group of five aims to create a functional and unique rendition of the classic chess game. The project begins on July 6 and is presented on August 22.
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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