lstm-stock-price-prediction

Public

This project implements a time series multivariate analysis using RNN/LSTM for stock price predictions. A deep RNN model was created and trained on five years of historical Google stock price data to forecast the stock performance over a two-month period.

artificial-intelligence long-short-term-memory lstm machine-learning multivariate-analysis recurrent-neural-networks rnn stock-analysis stock-price-prediction time-series-analysis

Creat：2024-04-05T22:24:30

Update：2025-03-23T12:46:54

Stars

Stars Increase

Related projects

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

178768

8个月前

+16today

LLMs From Scratch

Hot

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

73747

1年前

+324today

Deep Live Cam

real time face swap and one-click video deepfake with only a single image

73540

7个月前

+38today

Redis

cache

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

71043

3个月前

+14today

Grafana

alerting

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

70137

6个月前

+15today