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d3fc-technical-indicator

Components for calculating technical indicators on data series

d6tstack

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

dash

Interactive, Reactive Web Application Framework for Python

data-analysis

Data Analysis Using Python

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-algorithms-in-a-week

Code repository for Data Science Algorithms in a Week, published by Packt

data-science-ipython-notebooks

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.

data-science-utils

Lots of useful functions over Pandas and Python Numpy for Data Science

data-science_projects

Data Science Projects Repository

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

datascientist_tutorial

deep_learning_stock_trader

Implemented using Keras, fully-connected neural network to forecast stock price based on technical indicator and N-day return

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

delphi

An app that anticipates and rates the performance of stocks using technical as well as fundamental analysis by taking advantage of Python's data science and machine learning capabilities. Delphi helps traders and investors find stocks for their portfolio and recommends positions and strategies for each one using algorithms based on technical indicators, sentiment analysis, and the aforementioned machine learning to predict future trends.

demo.bokeh.org

Hosted Bokeh App Demos

depy

DePy 2015 Talk

docker_tutorial

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dtale

Flask/React client for visualizing pandas data structures

ensemble-machine-learning

Code repository for Ensemble Machine Learning, published by Packt

etl-job-ml-model-deployment

Sample ETL application that makes predictions with an MLModel class.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

factor-modelling

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

featureforge

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

featureselector

Simple python code that selects the most significant features from a dataset.

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

financial-analysis-python-tutorial

Financial Analysis in Python tutorial