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Exercises for the book Artificial Intelligence: A Modern Approach
The purpose of this repository is to test the hypothesis that the S&P 500 index has an exogenous relationship to the price of Gold; specifically that as the S&P index falls, the value of Gold will increase.
Code from a machine learning course. Topics covered: Regression, ANN, Machine Learning, and etc
Coronavirus-covid19-stocks-analysis
List of papers, code and experiments using deep learning for time series forecasting
:camera: Face Recognition using Haar-Cascade Classifier, OpenCV and Python
Play around with face recognition
A demo for a financial services bot
Grove Base Kit Sketchbook http://wiki.seeedstudio.com/Grove_Base_Kit_for_Raspberry_Pi
Sentiment Analysis with LSTMs in Tensorflow
An open-source implementation of the AlphaGoZero algorithm
Some custom dataset examples for PyTorch
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Demo app for running a bot with Rasa X
Final Project for Georgia Tech CS {4,7}649 Recon Blind Multi Chess AI Bot
In finance stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financial exchange. This project is about the prediction of a stock using Machine Learning. This analysis is used by the most of the stockbrokers while making the stock predictions. The programming language is used to predict the stock market using machine learning is Python. In this we propose a Machine Learning (ML) approach that will be trained from the available stocks data and gain intelligence and then uses the acquired knowledge for an accurate prediction. This study uses a machine learning technique called Support Vector Machine (SVM), Random Forest Classifier and Linear Regression methods to predict stock prices for the large and small capitalizations. The study aims to analyse the analysis of NSE listed FMCG companies in India with a sample size of four companies for a period from 2000 to 2018. From the Economic analysis, it is found that Gross Domestic Product, Inflation, Interest rates, Exchange rate and Consumer Confidence has impact on FMCG sector.
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
Time-Series Cross-Validation Module
Automatic extraction of relevant features from time series:
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.