Diptiranjan1/Stock-Market-Prediction

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Python
Created almost 8 years ago
Updated almost 8 years ago

Diptiranjan1/Stock-Market-Prediction

Diptiranjan1

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

PSO-vs-WOA

The Matlab/Octave code contains codes of Whale Optimization Algorithm and Particle Swarm Optimization.

WOA-to-train-Neural-Network

Whale Optimization Algorithm used to train Neural Network

PSO-to-train-neural-network

Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave

80s-Pong-Game-Unity-

Made using Unity this game is playable . Use arrow keys to move vertically and left mouse click to start the game.

Stock-Market-Project

This repository contains a crawler that downloads all the stock datas of S&P500 companies and then trains an LSTM network individually for prediction. In end we get graphs of predicted vs real closing prices. There is an option of also saving the weights of network so that it can be used later.

Jupyter Notebook

RNN-and-CNN-using-TensorFlow

Here, we are importing MNIST, TensorFlow and RNN model to train.