feat(Model): now successfully training the basic LSTM model

utils/normalize.py

@@ -3,4 +3,4 @@ import pandas as pd
 def normalize(data: pd.DataFrame) -> pd.DataFrame:
     data_mean = data.mean(axis=0)
     data_std = data.std(axis=0)
-    return (data - data_mean) / data_std
+    return ((data - data_mean) / data_std).fillna(0.)

utils/visualize.py

@@ -0,0 +1,15 @@
+import matplotlib.pyplot as plt
+
+
+def visualize_loss(history, title: str):
+    loss = history.history["loss"]
+    val_loss = history.history["val_loss"]
+    epochs = range(len(loss))
+    plt.figure()
+    plt.plot(epochs, loss, "b", label="Training loss")
+    plt.plot(epochs, val_loss, "r", label="Validation loss")
+    plt.title(title)
+    plt.xlabel("Epochs")
+    plt.ylabel("Loss")
+    plt.legend()
+    plt.show()