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.

Top 3 Classifier Models

Voting Classifier ROC Plot

Voting Classifier Precision-Recall Plot

Voting Classifier Prediction Error Plot

Voting Classifier Confusion Matrix

Validation Curve for Random Forest Classifier

Random Forest Classifier Feature Importances