1532 Open source projects that are alternatives of or similar to Algorithmic-Trading

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

Open Machine Learning Course

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

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Alpine Container for Machine Learning

Parallel computing with task scheduling

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

Credit Risk analysis by using Python and ML

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

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

Kaggle Struggle

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

Association Rule Mining from Spatial Data for Crime Analysis

Using python and scikit-learn to make stock predictions

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

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

A constantly updated python machine learning cheatsheet

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.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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。

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.

Explorando aspectos fundamentais da matemática com Python e Jupyter

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

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

My dataquest project solutions

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

Nested Sampling post-processing and plotting

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

Use AI to generate a optimized stock portfolio

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

brief introduction to Python for machine learning

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

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

For extensive instructor led learning

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.

notebooks with example for machine learning examples

Disease Prediction based on Symptoms.

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

General Assembly's 2015 Data Science course in Washington, DC

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Code, Notebooks and Examples from Practical Business Python

Python Cheat Sheet NumPy, Matplotlib

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

AsyncIO serving for data science models

📚 Various cheatsheets in PDF

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

📓 deepleaning and cv notes.

A module for allowing the use of multiple metric functions in scikit's cross_val_score

All the slides, accompanying code and exercises all stored in this repo. 🎈

Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

Instagram comment scraper using python and selenium. Save the comments into excel.

model-describer : Making machine learning interpretable to humans

A unified framework for machine learning with time series

Ultimate Python library for time series analysis and backtesting at scale

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

The "Python Machine Learning (1st edition)" book code repository and info resource

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