696 Open source projects that are alternatives of or similar to Numsharp

2.5k code solutions with clear explanation @ onelinerhub.com

📖 [译] 利用 Python 进行数据分析 · 第 2 版

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

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.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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

Awesome Spectral Indices in Python.

Library packs for google cloud functions

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

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

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

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

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

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.

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

机器学习数据，预测趋势并画图

Kai Sheng Teh - Udacity Data Analyst Nanodegree

A New, Interactive Approach to Learning Data Visualization

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

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

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

🍊 📊 💡 Orange: Interactive data analysis

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

Bootcamp to learn Python for Machine Learning

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

A guide to getting started with Data Science and ML.

SADDLE: Scala Data Library

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

No description or website provided.

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

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

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

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

This repository contains notes and projects of Data scientist track from dataquest course work.

Intel® Scalable Dataframe Compiler for Pandas*

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

This repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈

Data Science with Python

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

No description or website provided.

Explorando aspectos fundamentais da matemática com Python e Jupyter

Type System for Data Analysis in Python

Use AI to generate a optimized stock portfolio

A dynamic microsimulation framework for python

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

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

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.

《利用Python进行数据分析·第2版》

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Manipulate JSON-like data with NumPy-like idioms.

Python Tutorials for Data Science

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

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

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