Final Project Struktur Data

Searching and Sorting Algorithms Implementations in C++

This repository contains an implementation of a Stock Market Prediction model using Long Short-Term Memory (LSTM) networks in Python. The goal of this project is to forecast stock prices based on historical data, leveraging the powerful capabilities of LSTM, a type of recurrent neural network (RNN) that is well-suited for sequence prediction tasks

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.