7304 Open source projects that are alternatives of or similar to Py Quantmod

Support content for my blog

Data science and Big Data with Python

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Notebooks based on financial machine learning.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

The Hitchhiker's Guide to Data Science for Social Good

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

AsyncIO serving for data science models

football (soccer) datasets

Introduction to Data Science

Python tools for data analysis

model-describer : Making machine learning interpretable to humans

Completed assignments and coding challenges from the Lambda School Data Science program.

Explore and analyse your Home Assistant data

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

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

Javascript full-stack framework for Big Data visualisation and analysis

PyMC3 educational resources

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

modular quant framework.

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Lending Club Loan data analysis

Python API for Intelligent Visual Data Discovery

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Alpine Container for Machine Learning

Collection of Artificial Intelligence projects.

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Implementation of different techniques to find insights from the satellite data using Python.

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Learn advanced data science on real-life, curated problems

Master repository for the pandas-ml modules

Data Analysis and Visualization in Python for Ecologists

Source code for my personal blog

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Soccer Analytics in R using OPTA data

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

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.

Artificial Learning, Intelligent Machines

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

Talks & Workshops by the CODAIT team

The data and code that used in my book.

A workshop on data privacy methods for data scientists.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

A list of online resources for quantitative modeling, trading, portfolio management

Accelerate data science

Algorithmic trading strategies

A New, Interactive Approach to Learning Python

📊 📋 Dashboards using YAML or JSON files

Open-source demos hosted on Dash Gallery

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

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

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Plot your data by Unicode characters