In this project, I develop a CNN-based tool for stock price modeling and forecasting. This repository covers data preprocessing, model building, and evaluation, including callbacks like Early Stopping and Learning Rate Reduction. Ideal for quantitative finance, the project emphasizes model evaluation and accurate stock price predictions.

image caption generator, dog breed classifier, stock forecasting 🤖🖼️ Порождение подписей на русском языке к изображениям (Python, Keras). Собрал нейросеть из двух частей – свёрточная и рекуррентная части. Получил датасет путём перевода на русский датасета Flickr 8k с помощью Yandex Translate API. Получил метрику BLEU равной 0.51.

Stocks Forecasting for MAANG | MLOps using ZenML | Streamlit UI

Progetto di tesi: rete LSTM multivariata con sentiment analysis per la previsione dei titoli in borsa

Порождение подписей к изображениям. Классификация изображений. Прогнозирование временных рядов

Stock prediction model

Implementation of Time Series

This repository contains code for implementing both Large Language Models (LLM) and Long Short-Term Memory (LSTM) models in AWS SageMaker Studio Lab. It includes notebooks for LLM-based applications and LSTM models for stock price prediction.

A personal end-to-end machine learning project that seeks to predict stock prices from economical indicators for a variety of USA-based companies.

Stock Forecasting

A stock market forecaster using parallelized Monte Carlo simulations enhanced by machine learning (ML) techniques.

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.

Easy to follow stock price analysis on Indian stock data

Forecasting stock prices with Long Short Term Memory (LSTM) architecture

Implementação de uma LSTM para prever fechamento de ações na B3. Scripts para análise e predição de valores.

In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.

A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.

Stock price forecasting stuff with BERT