TechGig---Data-Science---2022
About
create a model to classify the raisin based 7 morphological features are extracted from images.
Final Score is 87.46 (not a competition score)
Evaluation Metric is Accuracy.
File information
- techgig-data-science-2022-eda.ipynb
Basic Exploratory Data Analysis
Packages Used,
* seaborn * Pandas * Numpy * Matplotlib
- techgig-data-science-2022-model.ipynb
Data Pre-processing and model.
Packages Used,
* Sklearn * Pandas * Numpy * Matplotlib * pycaret
Compared multiple classification models using pycaret’s compare_models function. Then took the top 3 models based on the accuracy score then blend the model by using pycaret blend_models function.