Solution to the Stanford 'Unsupervised Feature Learning and Deep Learning' tutorial using Python
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Updated
Jul 30, 2017 - Python
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open source software for mathematics, science, and engineering.
Solution to the Stanford 'Unsupervised Feature Learning and Deep Learning' tutorial using Python
Supervised Classification using Python, SVM, HOG, Jupyter, Anaconda, AWS, Ubuntu
Project contains analysis of food and health related datasets using numpy, scipy, pandas and scikit-learn
Libraries like numpy etc.
How To Create Coin Toss Experiment
Package with useful scripts for Physics Laboratory Courses
言語処理100本ノック
Metody Numeryczne na Wydziale Fizyki, Astronomii i Informatyki Stosowanej Uniwerstytetu Jagiellońskiego
McDonald versus Microsoft (Correlation coefficient and Spearman Rank Coefficient)
Jupyter Notebooks for all basic Machine Learning Algorithms on famous datasets.
Covid-19 infection cases approximation with logistic function
This respository apply a Python Matplotlib to visualize real-world pharmaceutical data. The data is sourced from Pymaceuticals Inc., a burgeoning pharmaceutical company based out of San Diego.
This notebook analyzes the results of a research study dataset, performs statistical analysis, and plots the results.
My first full on attempt at a supervised learning prediction model in my data science specialization course.
Simulating Lorenz attractor on Golem.network
Tools used to create fine meshes based on propeller test data. Used by the propeller efficiency calculator
IBM Data Science Course, Capstone Project
Created by Travis Oliphant, Pearu Peterson, Eric Jones
Latest release 21 days ago