type

README.md

@@ -5,10 +5,25 @@ tags:
 ---
 
 ## Model description
-Demonstrates how to do timeseries forecasting using a [LSTM model.](https://keras.io/api/layers/recurrent_layers/lstm/)
+Demonstrates timeseries forecasting using a [LSTM model.](https://keras.io/api/layers/recurrent_layers/lstm/)
 
 
-## Climate Data Time-Series
+
+## Full credits to:
+
+* [Prabhanshu Attri](https://prabhanshu.com/github)
+* [Yashika Sharma](https://github.com/yashika51)
+* [Kristi Takach](https://github.com/ktakattack)
+* [Falak Shah](https://github.com/falaktheoptimist)
+
+
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
 
 We will be using Jena Climate dataset recorded by the Max Planck Institute for Biogeochemistry. The dataset consists of 14 features such as temperature, pressure, humidity etc, recorded once per 10 minutes.
 
@@ -36,15 +51,6 @@ The table below shows the column names, their value formats, and their descripti
 | 14    | max. wv (m/s)   | 1.75                | Maximum wind speed                                                                                                                                                                                                   | -                 |
 | 15    | wd (deg)        | 152.3               | Wind direction in degrees                                                                                                                                                                                            | -                 |
 
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters