Update README.md

README.md

@@ -4,3 +4,37 @@ Indoor Location & Navigation 2% Silver Solution
 
 Address of the competition：https://www.kaggle.com/dingshiqi/competitions?tab=completed
 
+1 Download the data to the input folder
+
+2 floor forecast code
+
+   part1 data preprocessing
+   run code/wifi-features.ipynb
+   Run code/create-unified-wifi-features-example.ipynb
+
+   part2 Deep Learning Model
+   run code/floor-model-blstm.ipynb
+
+3 Coordinate prediction code
+
+   part1 data preprocessing
+   run code/wifi-label-encode.ipynb
+   run code/data_abstract_sensor.ipynb
+   run code/data_abstract_wifi.ipynb
+   run code/gen_accl.ipynb
+
+   part2 Deep Learning Model
+   Run code/lstm-wifi-encode-wifi.ipynb to predict using only wifi data
+   Run code/lstm-wifi-encode-wifi-sensor.ipynb to predict using wifi+sensor data
+
+4 Result fusion
+   Run code/combine_v1.ipynb to model linear fusion
+
+5 Post-processing
+   run code/post_process.ipynb
+
+6 Rule prediction code
+   run code/rules_infer.ipynb
+
+7 Results fusion
+   Run the code/combine_v2.ipynb model linear fusion to get the final final.csv prediction file