Machine Learning

Uses Keras RNN and LSTM to predict Nikkei 225 and S&P 500 stock prices, covering data acquisition, preprocessing, and model building as a practice exercise.

Applies a Keras RNN to forecast USD/JPY, EUR/USD, and GBP/USD exchange rates as a practice exercise, covering data collection and preprocessing.

Explains the basics of the sequence-to-sequence (Encoder-Decoder) model in Keras, implementing one that translates a sine function into a cosine function.

Explains the basics of Recurrent Neural Networks (RNN) in Keras by training a model on a damped oscillation curve as sample time-series data.

Explains the basics of LSTM in Keras and compares it with a simple RNN by building models trained on a damped oscillation curve as sample data.

Explains the basics of the GRU model in Keras and compares it with LSTM using a damped oscillation curve as sample time-series data.