https://github.com/alejo1630/machine_learning_ibm_project
This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia
https://github.com/alejo1630/machine_learning_ibm_project
machine-learning model-scoring python-notebook wheather-analysis
Last synced: 4 months ago
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This notebook presents a Machine Learning Model Comparison for the Prediction of Rain in Australia
- Host: GitHub
- URL: https://github.com/alejo1630/machine_learning_ibm_project
- Owner: alejo1630
- Created: 2024-04-29T18:53:24.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-29T19:37:06.000Z (about 1 year ago)
- Last Synced: 2024-12-31T05:42:58.439Z (6 months ago)
- Topics: machine-learning, model-scoring, python-notebook, wheather-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Machine Learning IBM Final Project
In this notebook, you will practice all the classification algorithms that we have learned in this course.
Below, is where we are going to use the classification algorithms to create a model based on our training data and evaluate our testing data using evaluation metrics learned in the course.
We will use some of the algorithms taught in the course, specifically:
1. Linear Regression
2. KNN
3. Decision Trees
4. Logistic Regression
5. SVM
We will evaluate our models using:
1. Accuracy Score
2. Jaccard Index
3. F1-Score
4. LogLoss
5. Mean Absolute Error
6. Mean Squared Error
7. R2-Score
Finally, you will use your models to generate the report at the end.
The original source of the data is Australian Government's Bureau of Meteorology and the latest data can be gathered from [http://www.bom.gov.au/climate/dwo/](http://www.bom.gov.au/climate/dwo/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01).
The dataset to be used has extra columns like 'RainToday' and our target is 'RainTomorrow', which was gathered from the Rattle at [https://bitbucket.org/kayontoga/rattle/src/master/data/weatherAUS.RData](https://bitbucket.org/kayontoga/rattle/src/master/data/weatherAUS.RData?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01)
This dataset contains observations of weather metrics for each day from 2008 to 2017. The **weatherAUS.csv** dataset includes the following fields:
| Field | Description | Unit | Type |
| ------------- | ----------------------------------------------------- | --------------- | ------ |
| Date | Date of the Observation in YYYY-MM-DD | Date | object |
| Location | Location of the Observation | Location | object |
| MinTemp | Minimum temperature | Celsius | float |
| MaxTemp | Maximum temperature | Celsius | float |
| Rainfall | Amount of rainfall | Millimeters | float |
| Evaporation | Amount of evaporation | Millimeters | float |
| Sunshine | Amount of bright sunshine | hours | float |
| WindGustDir | Direction of the strongest gust | Compass Points | object |
| WindGustSpeed | Speed of the strongest gust | Kilometers/Hour | object |
| WindDir9am | Wind direction averaged of 10 minutes prior to 9am | Compass Points | object |
| WindDir3pm | Wind direction averaged of 10 minutes prior to 3pm | Compass Points | object |
| WindSpeed9am | Wind speed averaged of 10 minutes prior to 9am | Kilometers/Hour | float |
| WindSpeed3pm | Wind speed averaged of 10 minutes prior to 3pm | Kilometers/Hour | float |
| Humidity9am | Humidity at 9am | Percent | float |
| Humidity3pm | Humidity at 3pm | Percent | float |
| Pressure9am | Atmospheric pressure reduced to mean sea level at 9am | Hectopascal | float |
| Pressure3pm | Atmospheric pressure reduced to mean sea level at 3pm | Hectopascal | float |
| Cloud9am | Fraction of the sky obscured by cloud at 9am | Eights | float |
| Cloud3pm | Fraction of the sky obscured by cloud at 3pm | Eights | float |
| Temp9am | Temperature at 9am | Celsius | float |
| Temp3pm | Temperature at 3pm | Celsius | float |
| RainToday | If there was rain today | Yes/No | object |
| **RainTomorrow (Target)** | If there is rain tomorrow | Yes/No | float |
Column definitions were gathered from [http://www.bom.gov.au/climate/dwo/IDCJDW0000.shtml](http://www.bom.gov.au/climate/dwo/IDCJDW0000.shtml?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2022-01-01)