Project Details
- In the first step we have collected the dataset and it is converted to csv format after that several data pre-processing and modification steps like Managing Categorical attributes, Taking care of missing data for further implementation
- After implementation of several machine learning algorithms, we have finalized Decision Tree Regressor from sklearn library of python for our project with an accuracy of 99.99%.
- python joblib library is used to save and load machine learning model by generating a bikemodel.sav which can be further used to predict the values using Django web framework
Libraries
Numpy
Pandas
Matplotlib
Djanjo
Sklearn
Seaborn
Joblib