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Stock Analysis Tutorial in Python
We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a…
Reproduce research from paper "Predicting the direction of stock market prices using random forest"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
A Toolkit to simulate distributed fog computing environment
Introduction to Deep Learning for Image Recognition
Machine_Learning Books downloaded from the internet.It covers concepts of machine learning from basic level to advanced level and doesn't mean to hurt anyone's copyright or authenticity
Feature selector is a tool for dimensionality reduction of machine learning datasets
pyclustering is a Python, C++ data mining library.
Python for Data Science
bartosh / backtrader
Forked from mementum/backtraderPython Backtesting library for trading strategies
Free Bootstrap 4 Admin Dashboard Template
general natural language facilities for node
machine learning and deep learning tutorials, articles and other resources
The "Python Machine Learning (1st edition)" book code repository and info resource
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
A curated list of awesome Machine Learning frameworks, libraries and software.
Stock Price Prediction using Machine Learning Techniques
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
Sample Java Desktop App with Cognito User Pools