| Mode | Name | Size | |
|---|---|---|---|
| -rw-r--r-- | .gitattributes | 138 | logplain |
| d--------- | .github / workflows | 36 | logplain |
| -rw-r--r-- | .gitignore | 74 | logplain |
| d--------- | .vscode | 41 | logplain |
| -rw-r--r-- | LICENSE | 1153 | logplain |
| -rw-r--r-- | README.md | 4348 | logplain |
| d--------- | __dbscripts__ | 99 | logplain |
| -rw-r--r-- | app.py | 693 | logplain |
| -rw-r--r-- | cities.json | 271069 | logplain |
| d--------- | functions | 90 | logplain |
| -rw-r--r-- | initial_setup.py | 2042 | logplain |
| d--------- | libs | 80 | logplain |
| -rw-r--r-- | model_builder.py | 996 | logplain |
| -rw-r--r-- | predictor.py | 1436 | logplain |
| -rw-r--r-- | requirements.txt | 32 | logplain |
| d--------- | static | 59 | logplain |
| d--------- | templates | 38 | logplain |
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index : temp_pred_arima | |
| Time Series Analysis and Visualization of Earth Surface Temperature using Berkeley Earth Data by building a Machine Learning Model in Python |
| aboutsummaryrefslogtreecommitdiff |