PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Introduction to Data Science

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Curso de Data Science em Português

open source for wechat-official-account (ID: PyDataLab)

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

Stock for Deep Learning and Machine Learning

Quiz & Assignment of Coursera

A collection of Bayesian data analysis recipes using PyMC3

How to do Bayesian statistical modelling using numpy and PyMC3

Python tools for data analysis

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

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.

Collection of useful data science topics along with code and articles

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

Visualizer for pandas data structures

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js