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aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

arimax-gold-and-s-p500-time-series

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.

car-prediction-using-ann

Code from a machine learning course. Topics covered: Regression, ANN, Machine Learning, and etc

chatbot

coronavirus-covid19-stocks-analysis

Coronavirus-covid19-stocks-analysis

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

ef

facerecognition

:camera: Face Recognition using Haar-Cascade Classifier, OpenCV and Python

facerecognition-1

facerecognition-2

Play around with face recognition

facerecognition-3

facerecognitionfacemaskdetection

financial-demo

A demo for a financial services bot

grove_base_kit_sketchbook

Grove Base Kit Sketchbook http://wiki.seeedstudio.com/Grove_Base_Kit_for_Raspberry_Pi

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

minigo

An open-source implementation of the AlphaGoZero algorithm

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

rasa

💬 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

rasa-x-demo

Demo app for running a bot with Rasa X

rmbc-chess-bot

Final Project for Georgia Tech CS {4,7}649 Recon Blind Multi Chess AI Bot

stock-price-prediction-of-fmcg-sector

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.

stock_market_data_analysis

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.

timeseriescrossvalidation

Time-Series Cross-Validation Module

tsfresh

Automatic extraction of relevant features from time series: