GitHub - Ruphai/PLUS_Machine-Learning-EOT: A repo of the analysis carried out for the final project on the PLUS Course on the Introduction to Data Science and Machine Learning for Geospatial Data taught by Euro Beinat. This analysis used the HURDAT2 Database, containing tropical storm paths from 1851 till date.

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A repo of the analysis carried out for the final project on the PLUS Course on the Introduction to Data Science and Machine Learning for Geospatial Data taught by Euro Beinat. This analysis used the HURDAT2 Database, containing tropical storm paths from 1851 till date.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
data		data
Atlantic-Hurricane-Data-EDA.ipynb		Atlantic-Hurricane-Data-EDA.ipynb
Hurricane_path.PNG		Hurricane_path.PNG
Most_hurricane.PNG		Most_hurricane.PNG
ReadME		ReadME
Time Series Forecast Model for Windspeed.ipynb		Time Series Forecast Model for Windspeed.ipynb
Wind_Speed.PNG		Wind_Speed.PNG
atlantic.csv		atlantic.csv
hurricanes.csv		hurricanes.csv
plt.png		plt.png

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End of Term Project for the Introduction to Data Science and Machine Learning for Geospatial Data. After an exploratory visual analysis of the data, two Recurrent Neural Networks architectures -- LSTM and GRU were tested for their performance in predicting the trajectory of the hurricane. 

Group Member : Hira Zafar, Rufai Omowunmi Balogun
There are two jupyter notebooks one for EDA and the other shows the model creation and comparison