910 Open source projects that are alternatives of or similar to neworder

Technical Analysis Library using Pandas and Numpy

Bootcamp to learn Python for Machine Learning

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

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。

Python Tutorials for Data Science

📚 Various cheatsheets in PDF

A clothing retrieval and visual recommendation model for fashion images.

📖 每一个伟大的思想和行动都有一个微不足道的开始

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

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

This repository consists of all my Machine Learning Projects.

Library packs for google cloud functions

A constantly updated python machine learning cheatsheet

Performance analysis of predictive (alpha) stock factors

공공데이터 분석

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

N-D labeled arrays and datasets in Python

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.

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

2.5k code solutions with clear explanation @ onelinerhub.com

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

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Achieve your marketing goals with the data analytics power of Python

This repository contains notes and projects of Data scientist track from dataquest course work.

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.

Python Cheat Sheet NumPy, Matplotlib

Materiály k předmětu NI-PYT na FIT ČVUT

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.

Repository to store sample python programs for python learning

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Functionalities in Excel translated to Python

This is Andrew NG Coursera Handwritten Notes.

Data-frames & arrays on Clojure

Manipulate JSON-like data with NumPy-like idioms.

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

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

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

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

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

A guide to getting started with Data Science and ML.

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

SADDLE: Scala Data Library

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.

🍊 📊 💡 Orange: Interactive data analysis

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

Awesome Spectral Indices in Python.

No description or website provided.

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

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

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.