1483 Open source projects that are alternatives of or similar to ipython-notebooks

A library for managing, validating, summarizing, and visualizing data.

Visualize and compare datasets, target values and associations, with one line of code.

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

Python数据分析入门，数据分析师入门

My dataquest project solutions

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

Create HTML profiling reports from pandas DataFrame objects

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

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Open Machine Learning Course

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。

📖 每一个伟大的思想和行动都有一个微不足道的开始

Data analysis library for JavaScript built with Ramda

Astetik takes away the pain from telling visual stories with data on Python

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

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Kaggle Struggle

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

GDL - GNU Data Language

Context geo-tiles in Python

Algorithmic trading using machine learning.

Using Project Jupyter for data science.

Repository to store sample python programs for python learning

Facial Expression Recognition

Nested Sampling post-processing and plotting

Visualizer for pandas data structures

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

Manipulate JSON-like data with NumPy-like idioms.

Extract data from a wide range of Internet sources into a pandas DataFrame.

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

data wrangling simplicity, complete audit transparency, and at speed

Analyze Data with Pandas-based Networks. Documentation:

📖 [译] Pandas 中文文档（待校对）

Python Tutorials for Data Science

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.

Missing data visualization module for Python.

A library to create interactive maps of geographical datasets

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

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

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

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.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Curated Python Notebooks for Data Visualization

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

A guide to getting started with Data Science and ML.

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

💬📊 Fun data visualizations for Facebook Messenger chats

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

Track Animation is a Python 2 and 3 library that provides an easy and user-adjustable way of creating visualizations from GPS data.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

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

Short programming tutorials pertaining to data analysis.

What's in your data? Extract schema, statistics and entities from datasets

Python/xarray tutorial for GEOS-Chem users

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

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning