1428 Open source projects that are alternatives of or similar to Pandas Summary

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

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data wrangling simplicity, complete audit transparency, and at speed

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

Notes for Deep Learning Specialization Courses led by Andrew Ng.

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Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

YouTube Like Count Predictions using Machine Learning

A validation library for Pandas data frames using user-friendly schemas

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Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

TSrepr: R package for time series representations

Short programming tutorials pertaining to data analysis.

open source for wechat-official-account (ID: PyDataLab)

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

A collection of Jupyter notebooks exploring different datasets.

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

My dataquest project solutions

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Knee point detection in Python 📈

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🍊 📊 💡 Orange: Interactive data analysis

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Koalas: pandas API on Apache Spark

All the slides, accompanying code and exercises all stored in this repo. 🎈

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.

Easy to use Python library of customized functions for cleaning and analyzing data.

An introductory workshop on pandas with notebooks and exercises for following along.

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

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A guide to getting started with Data Science and ML.

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

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Este repositório está destinado ao processo de aprendizagem da biblioteca Pandas.

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

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Privacy-Preserving Data Analysis using Pandas

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