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

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

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.

Solutions of the various test exams of the Information Retrieval course

SADDLE: Scala Data Library

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

A guide to getting started with Data Science and ML.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

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

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

🍊 📊 💡 Orange: Interactive data analysis

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

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

Bootcamp to learn Python for Machine Learning

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

2.5k code solutions with clear explanation @ onelinerhub.com