1176 Open source projects that are alternatives of or similar to DataSciPy

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

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

🍊 📊 💡 Orange: Interactive data analysis

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

Open Machine Learning Course

Use AI to generate a optimized stock portfolio

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

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

For extensive instructor led learning

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Credit Risk analysis by using Python and ML

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

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

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

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Explorando aspectos fundamentais da matemática com Python e Jupyter

Alpine Container for Machine Learning

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

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Parallel computing with task scheduling

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

A collection of notebooks of my Machine Learning class written in python 3

Python Cheat Sheet NumPy, Matplotlib

📚 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

Python Tutorials for Data Science

This is Andrew NG Coursera Handwritten Notes.

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

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

📓 deepleaning and cv notes.

Manipulate JSON-like data with NumPy-like idioms.

Bootcamp to learn Python for Machine Learning

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

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

Tools that make working with scikit-learn and pandas easier.

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.

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

Algorithmic trading using machine learning.

Machine Learning for Spot Prices

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

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

A guide to getting started with Data Science and ML.

Functionalities in Excel translated to 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.

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

A FORTRAN module to write Numpy's *.npy and *.npz files

My dataquest project solutions

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.

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

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

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

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

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.

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

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

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