There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Stock-Price-Prediction-using-the-LSTM-neural-network
Machine learning has significant applications in the stock price prediction. In this machine learning project, I will be talking about predicting the returns on stocks. This is a very complex task and has uncertainties. I will develop this project into two parts: First, we will learn how to predict stock prices using the Long short-term memory(LSTM) neural network. Then we will build a dashboard using Plotly dash for stock analysis. To build the stock price prediction model, we will use the NSE TATA GLOBAL dataset. This is a dataset of Tata Beverages from Tata Global Beverages Limited, National Stock Exchange of India: Tata Global Dataset. To develop the dashboard for stock analysis we will use another stock dataset with multiple stocks like Apple, Microsoft, Facebook.Iris-Flowers-Classification-Project
A well known data set that contains 150 records of three species of Iris flowers Iris Setosa , Iris Virginica and Iris Versicolor. There are 50 records for each Iris species and every record contains four features, the pedal length and width, the sepal length and width. We are going to use a k-Nearest neighbors algorithm to classify these species based on these four features.Financial-Mathematics
Financial Mathematics Essential Graph , Binomial Tress, Strangle, winner process etc plotting and calculating.Web-Development
In there I have stored all my edited class and functions for my web development worksAESPython
AES Implementation from Scratch in PythonAlgorithm
My Practise on C++, Python, Java, MatlabLove Open Source and this site? Check out how you can help us