6312 Open source projects that are alternatives of or similar to Quickviz

The Los Angeles Times' independent tally of coronavirus cases in California.

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

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.

An ongoing list of pandas quirks

Repository to store sample python programs for python learning

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.

Create HTML profiling reports from pandas DataFrame objects

📚 Various cheatsheets in PDF

This is Andrew NG Coursera Handwritten Notes.

Visualizer for pandas data structures

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

🐍 Learn Python and Pandas from the ground up

HandySpark - bringing pandas-like capabilities to Spark dataframes

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

This repository provides everything you need to get started with Python for (social science) research.

pandas中文教程

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

Using Project Jupyter for data science.

[tutorial]A functional, Data Science focused introduction to Python

从零基础开始机器学习之旅

Kaggle Struggle

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

This repository helps you understand python from the scratch.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Tutorial on geospatial data manipulation with Python

Data Science Best Practices with pandas

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Run your code in the cloud, with technology so advanced, it feels like magic!

Jupyter notebook server extension to proxy web services.

Interactive reports to analyze machine learning models during validation or production monitoring.

The hands-on NLTK tutorial for NLP in Python

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

Functionalities in Excel translated to Python

Technical Analysis Library using Pandas and Numpy

Training Diary

Performance analysis of predictive (alpha) stock factors

Tutorial: Web scraping in Python with Beautiful Soup

Simple plotting library that wraps Matplotlib and integrated with DataFrames

🍇 Edit and execute code snippets in the browser using Jupyter kernels

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

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

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

Easy pipelines for pandas DataFrames.

Notebooks and libraries for spatial/geo Python explorations

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

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

A Pandas Styler class for making beautiful tables

bamboolib - a GUI for pandas DataFrames

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

SciKIt-learn Pipeline in PAndas

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A light-weight, flexible, and expressive pandas data validation library

【运筹OR帷幄|数据科学】pandas教程系列电子书

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

공공데이터 분석

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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.

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)