6289 Open source projects that are alternatives of or similar to Jdata

An ongoing list of pandas quirks

This is Andrew NG Coursera Handwritten Notes.

Functionalities in Excel translated to Python

Code, Notebooks and Examples from Practical Business Python

Kaggle에서 진행하는 경진대회의 코드를 올려둔 공간입니다.

This repository consists of all my Machine Learning Projects.

HandySpark - bringing pandas-like capabilities to Spark dataframes

📚 Various cheatsheets in PDF

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

Kaggle Struggle

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

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.

General Assembly's 2015 Data Science course in Washington, DC

Collection of jupyter notebooks

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

Performance analysis of predictive (alpha) stock factors

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

Technical Analysis Library using Pandas and Numpy

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。

pandas中文教程

Simple plotting library that wraps Matplotlib and integrated with DataFrames

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

从零基础开始机器学习之旅

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

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

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

【运筹OR帷幄|数据科学】pandas教程系列电子书

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Jupyter notebook and datasets from the pandas Q&A video series

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Achieve your marketing goals with the data analytics power of Python

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Get, Concatenate and Process you location history from Google Maps TimeLine

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

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

🐍 Learn Python and Pandas from the ground up

공공데이터 분석

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

Repository to store sample python programs for python learning

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Tutorial: Web scraping in Python with Beautiful Soup

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

bamboolib - a GUI for pandas DataFrames

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

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

Using Project Jupyter for data science.

Visualizer for pandas data structures

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

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.

Data Science Best Practices with pandas

Notebooks and libraries for spatial/geo Python explorations

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

《python数据分析与挖掘实战》项目实践及拓展

Training Diary

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

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