1387 Open source projects that are alternatives of or similar to Python-Matematica

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A constantly updated python machine learning cheatsheet

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Open Machine Learning Course

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

A New, Interactive Approach to Learning Data Visualization

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Adds a customizable menu item to Jupyter (IPython) notebooks to insert boilerplate snippets of code

A complete docker package for deploying django which is easy to understand and deploy anywhere.

《利用Python进行数据分析·第2版》

Numerical & Scientific Computing with Python Tutorial

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Data Science with Python

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

中文 Python 笔记

Parallel computing with task scheduling

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

공공데이터 분석

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A Python module for time-frequency analysis

Algorithmic trading using machine learning.

Nested Sampling post-processing and plotting

Achieve your marketing goals with the data analytics power of Python

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

The Python Toolbox for Robotics

微信机器人，基于Python itchat接口功能实例展示：01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息

Course taught at the University of Bordeaux in the academic year 2017 for PhD students.

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

🍊 📊 💡 Orange: Interactive data analysis

Alpine Container for Machine Learning

No description or website provided.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Credit Risk analysis by using Python and ML

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Repository for the projects needed to complete the Data Analyst Nanodegree.

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

This repository consists of all my Machine Learning Projects.

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

A fast MDCT implementation using SciPy and FFTs

Audio fingerprinting and recognition

机器学习数据，预测趋势并画图

Computer Vision model creates a live video sketch of frames through real time web cam video. Source code is written in python and model is based on OpenCV. Keras and Numpy have been used to optimize the performance of the model and posterize frames

2.5k code solutions with clear explanation @ onelinerhub.com

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Content from the University of British Columbia's Master of Data Science course DSCI 511.

Python数据分析入门，数据分析师入门

A open source book covering the foundational maths of deep learning and machine learning using TensorFlow