by gamzeakkurt · Claude 技能 · ★ 19
📊 Yahoo Finance Stock Market Analysis (AAPL, MSFT, AMZN, TSLA) 🚀 Introduction Stock market prediction is a crucial area in financial analysis. Prices of stocks are influenced by various factors, such as market trends, economic indicators, and investor sentiment. This project focuses on analyzing and forecasting stock prices of Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), and Tesla (TSLA) using deep learning. Using Yahoo Finance data, we apply Exploratory Data Analysis (EDA), Feature Engineering, Preprocessing, and Long Short-Term Memory (LSTM) Regression modeling to predict stock prices.
| Stars | 19 |
| Forks | 5 |
| Language | Python |
| Category | Claude 技能 |
| License | MIT |
| Quality Score | 34.8/100 |
| Last Updated | 2026-03-31 |
| Created | 2025-01-30 |
| Platforms | claude-code, python |
| Est. Tokens | ~575k |
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deep-learning-stock-prediction is This project uses machine learning models (Linear Regression and LSTM) to analyze and forecast stock market prices. It retrieves stock data from Yahoo Finance, performs exploratory data analysis (EDA). It is categorized as a Claude 技能 with 19 GitHub stars.
deep-learning-stock-prediction is primarily written in Python. It covers topics such as applestockmarket, arima, chatgpt.
You can find installation instructions and usage details in the deep-learning-stock-prediction GitHub repository at github.com/gamzeakkurt/deep-learning-stock-prediction. The project has 19 stars and 5 forks, indicating an active community.
deep-learning-stock-prediction is released under the MIT license, making it free to use and modify according to the license terms.