added stock prediction tutorial

Author: x4nth055

README.md

@@ -39,6 +39,7 @@ This is a repository of all the tutorials of [The Python Code](https://www.thepy
     - [Building a Speech Emotion Recognizer using Scikit-learn](https://www.thepythoncode.com/article/building-a-speech-emotion-recognizer-using-sklearn). ([code](machine-learning/speech-emotion-recognition))
     - [How to Convert Speech to Text in Python](https://www.thepythoncode.com/article/using-speech-recognition-to-convert-speech-to-text-python). ([code](machine-learning/speech-recognition))
     - [Top 8 Python Libraries For Data Scientists and Machine Learning Engineers](https://www.thepythoncode.com/article/top-python-libraries-for-data-scientists).
+    - [How to Predict Stock Prices in Python using TensorFlow 2 and Keras](https://www.thepythoncode.com/article/stock-price-prediction-in-python-using-tensorflow-2-and-keras). ([code](machine-learning/stock-prediction))
 
 
 - ### [General Python Topics](https://www.thepythoncode.com/topic/general-python-topics)

machine-learning/stock-prediction/README.md

@@ -0,0 +1,6 @@
+# [How to Predict Stock Prices in Python using TensorFlow 2 and Keras](https://www.thepythoncode.com/article/stock-price-prediction-in-python-using-tensorflow-2-and-keras)
+
+To run this:
+- `pip3 install -r requirements.txt`
+- Please read the tutorial before using this, edit `parameters.py` for your needs and run `train.py`. This will start training using the parameters you specified, you can use `tensorboard` on `logs` folder to visualize your training process.
+- Once you trained your model, use `test.py` to evaluate and test your model.