This Repository consists of all the data science and machine learning projects. There will be always room for improvement and I will be constantly updating this folder. Currently folder contains only supervised machine learning models.
All datasets that have been used will be included in folder and detailed description of each project under them.
Machine leanrning lifecycle deployment :
.
- Extract and select object features.
- Outlier detections.
- Create supervised machine learning models.
- Evaluating supervised machine learning models by hyperparameter tuning.
- Features and model refinement.
- Machine learning model deployment.
- Classification
- Regression