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predict-stock-market-using-ml

Predict Stock Market using neural network

pro-deep-learning-w-tensorflow

Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak

project-based-learning

Curated list of project-based tutorials

python-machine-learning-blueprints

Code repository for Python Machine Learning Blueprints, published by Packt

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonmachinelearningblueprints

The code and some datasets for book "Python Machine Learning Blueprints" by Alexander T. Combs

reactbook2

Code for the book "React: Up and Running, second edition"

reactcasts

App by app code for Build Web Apps with React JS

recommendersystem-dataset

This repository contains some datasets that I have collected in Recommender Systems.

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.

repo-2016

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence and NLP

rust-by-example

Learn Rust with examples (Live code editor included)

sciblog_support

Support content for my blog

snipe-it

A free open source IT asset/license management system

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stock-market-prediction

Here we import S&P500 companies' data and apply ML techniques to predict whether to hold/buy/sell certain stocks

stockml

A stock market prediction application using Linear Regression and classification.

townhouse

A multi-tenant Laravel app for listing property rentals

tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

udemy-tf-for-deep-learning-with-python

Udemy-TF-for-Deep-Learning-with-Python

unzipper

Small class to extract + compress .zip, .gz, .rar archives via browser.

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

weather-app-25-reactjs-interview-projects

webinars

Code and slides for RStudio webinars

you-dont-know-js

A book series on JavaScript. @YDKJS on twitter.

youtube-recommendation-tensorflow

code of paper `Deep Neural Networks for Youtube Recommendation`