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forecasting:start [2020/09/19 22:09] jclaudio [Jupyter] |
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| ====== Forecasting ====== | ====== Forecasting ====== | ||
| - | //Updated: September/19/2020// | + | //Updated: Fall 2020// |
| - | Forecasting focuses on creating a statistical model from data and then using it to predict future trends based on the test data. It is considered a field of data science/statistics. There is also a large craze concerning machine learning recently--the purpose of this team is to learn to adapt statistical and machine learning analysis techniques to weather-related data. | + | Forecasting focuses on creating a statistical model from existing data and then using it to predict future trends based on the test data. The purpose of this team is to take meteorological data from the weatherboxes and apply **machine learning** algorithms to predict future weather conditions across the Manoa campus. |
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| - | ---- | + | |
| + | {{ :forecasting:forecastingapproach.png?500 |}} | ||
| ===== Introduction ===== | ===== Introduction ===== | ||
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| * Learn and review various statistical techniques and models as applied in Python. | * Learn and review various statistical techniques and models as applied in Python. | ||
| * Start on a new and well documented machine learning framework for SCEL. | * Start on a new and well documented machine learning framework for SCEL. | ||
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| - | ----- | ||
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| - | {{:forecasting:blockdiagramsp16.jpg?700|}} | ||
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| ===== Resources ====== | ===== Resources ====== | ||
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| * [[https://www.udemy.com/share/101WciAEMbdlpWTXQJ/ | Machine Learning A-Z™: Hands-On Python & R In Data Science]] - Online course taken | * [[https://www.udemy.com/share/101WciAEMbdlpWTXQJ/ | Machine Learning A-Z™: Hands-On Python & R In Data Science]] - Online course taken | ||
| - | ==== Jupyter (No longer used)==== | + | ==== Jupyter (No longer using)==== |
| * [[http://jupyter.readthedocs.org/en/latest/install.html | Install iPython]] - Installation tutorial for iPython. Anaconda recommended for users new to Python. | * [[http://jupyter.readthedocs.org/en/latest/install.html | Install iPython]] - Installation tutorial for iPython. Anaconda recommended for users new to Python. | ||
| * [[forecasting: iPython Tutorials]] | * [[forecasting: iPython Tutorials]] | ||
| * [[.:how to download data]] | * [[.:how to download data]] | ||
| - | ==== Connecting MATLAB to a database ==== | + | ==== Connecting MATLAB to a database (No longer using)==== |
| {{:forecasting:connecting_matlab_to_pos_database_kdelchev.pdf|}}\\ | {{:forecasting:connecting_matlab_to_pos_database_kdelchev.pdf|}}\\ | ||
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| - | ===== Documentation and Notes ==== | + | ===== Documentation and Notes ===== |
| + | |||
| + | ==== Current Notes ==== | ||
| + | [[Data Preprocessing]]\\ | ||
| + | [[Regression]]\\ | ||
| + | [[Classification]]\\ | ||
| + | |||
| + | ==== Archived Notes ==== | ||
| [[https://docs.google.com/document/d/1keX9LUpu0hDK2uMDyuJe8mySTMc1qQ0sMVJLVDT1odA/edit|General iPython Notes]] | [[https://docs.google.com/document/d/1keX9LUpu0hDK2uMDyuJe8mySTMc1qQ0sMVJLVDT1odA/edit|General iPython Notes]] | ||
| \\ | \\ | ||