Datasets and Related Python codes in this repository, are for a Web-Based Machine Learning application written with Python and Django framework. This website is available at Django Club .
This website has CMS functionality and blogging and also Python Machine Learning Models are implemented in Django Web Pages. In a form, you enter variable entries and through Ajax data will sent to the pickle-serialized model and the return of calculation will be sent back to the form. The explanatory video of website functionalities is available at this link .
Machine Learning Algorithm used for each dataset is, as below:
- Linear Regression → house-prices.py and house-prices.csv
- Polynomial Regression → Wine_Quality.py and Wine_Quality.csv
- Lasso Regression → diamonds.py and diamonds.csv
- Ridge Regression → earthquake.py and earthquake.csv
- Elastic Net Regression → salaries.py and salaries.csv
- Support Vector Machine → iris.py and iris.csv
- Logistic Regression → diabetes.py and diabetes.csv
- Naïve Bayes → drug200.py and drug200.csv
- K-Nearest Neighbor → stars.py and stars.csv
- Decision Tree → fish.py and fish.csv
- Random Forest → glass.py and glass.csv