Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

source{d} Community Edition (CE)

TipDM建模平台，开源的数据挖掘工具。

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.

《Python数据分析与挖掘实战》随书源码与数据

TSrepr: R package for time series representations

Machine learning fundamentals lesson in interactive notebooks

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

the `pipeline` shell command

heidi : tidy data in Haskell

Analyze Data with Pandas-based Networks. Documentation:

Multi-class confusion matrix library in Python

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

安全场景、基于AI的安全算法和安全数据分析学习资料整理

List of tools & datasets for anomaly detection on time-series data.

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

Ultimate Python library for time series analysis and backtesting at scale

数据可视化, 数据挖掘, 数据处理 ETL

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.