1080 Open source projects that are alternatives of or similar to Dask

Credit Risk analysis by using Python and ML

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

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.

🍊 📊 💡 Orange: Interactive data analysis

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

Open Machine Learning Course

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.

Use AI to generate a optimized stock portfolio

Explorando aspectos fundamentais da matemática com Python e Jupyter

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

A complete docker package for deploying django which is easy to understand and deploy anywhere.

A constantly updated python machine learning cheatsheet

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

Python Cheat Sheet NumPy, Matplotlib

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Alpine Container for Machine Learning

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

For extensive instructor led learning

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

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

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。

📚 Various cheatsheets in PDF

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

N-D labeled arrays and datasets in Python

Algorithmic trading using 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

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

Data Science with Python

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.

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang

Docker Start Guide with Python Development Environment

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

A New, Interactive Approach to Learning Data Visualization

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Numerical & Scientific Computing with Python Tutorial

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Remote heart rate detection through Eulerian magnification of face videos

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

ADAM - A Question Answering System. Inspired from IBM Watson

《利用Python进行数据分析·第2版》

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Distance Recognition of a Human Being with Deep CNN's

A workshop for scientific computing in Python. ( December 2017 )

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Type System for Data Analysis in Python

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

notebooks with example for machine learning examples

A c++ header library for matrix operation inspired Numpy Scipy, MATLAB only using Eigen.

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

brief introduction to Python for machine learning

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.