Collection of notebooks about quantitative finance, with interactive python code.

Framework to streamline use of neural networks

Data and code behind the articles and graphics at FiveThirtyEight

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Companion webpage to the book "Mathematics For Machine Learning"

A collection of various deep learning architectures, models, and tips

A list of useful resources to learn Data Engineering from scratch

Call Wolfram Language functions from Python

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

PyBites Code Challenges

TensorFlow documentation

Deep Learning for humans

Course materials and handouts for #100DaysOfCode in Python course

Tutorials for DataCamp (www.datacamp.com)

A collection of datasets ready to use with TensorFlow

Python implementation of machine learning algorithms

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python code for common Machine Learning Algorithms

In this repo I will upload all code related to my posts on medium or any other platform

Official Kaggle API

A collection of machine learning examples and tutorials.

Custom Jupyter Notebook Themes

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Data Analysis Using Python