chore: 添加Stock-Prediction-Models项目文件

添加了Stock-Prediction-Models项目的多个文件，包括数据集、模型代码、README文档和CSS样式文件。这些文件用于股票预测模型的训练和展示，涵盖了LSTM、GRU等深度学习模型的应用。

5.课程代码/4.Stock-Prediction-Models/使用文档/Stock-Prediction-Models-master/stock-forecasting-js/README.md

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+# Stock forecasting JS
+
+LSTM Model for stock forecasting and buying simulation inside Tensorflow JS, so everyone can try!
+
+## Stack
+
+Graphic library: [Echarts](https://ecomfe.github.io/echarts-examples/public/index.html), [D3](https://d3js.org/)
+
+CSV parsing: [Papaparse JS](https://www.papaparse.com/)
+
+Linear algebra: [numeric JS](https://github.com/sloisel/numeric), [numJS](https://github.com/cliffordwolf/NumJS), [Tensorflow JS](https://js.tensorflow.org/)
+
+## How-to
+
+1. Clone this folder and just open [index.html](index.html),
+
+Or, go to [huseinhouse.com/stock-forecasting-js](https://huseinhouse.com/stock-forecasting-js/)!
+
+![alt text](screenshot/1.png)
+
+2. Check hyper parameters you want to tune,
+
+![alt text](screenshot/2.png)
+
+3. You can upload any stock CSV, downloaded from Yahoo finance or any website. Any error, please open an issue.
+
+4. Train the model and wait it's fitting!
+
+5. After done training, it will predict where to buy and sell,
+
+![alt text](screenshot/3.png)
+
+Comparing histogram and loss graph,
+
+![alt text](screenshot/4.png)