hariprasath-v / AV_job-a-thon-august-2022

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

AV_job-a-thon-june-2022

Competition hosted on analyticsvidhya.com

About

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

Competition LB Rank: 85/959

Final Score 0.5242868399

Evaluation Metric R2 score.

File information

• AV_job_a_thon_august_2022_EDAipynb

  Packages Used,

   * seaborn
   * Pandas
   * Numpy
   * Matplotlib
  

  Basic Exploratory Data Analysis

• av-job-a-thon-august-2022-model.ipynb

  Packages Used,

    * Sklearn
    * Pandas
    * Numpy
    * Matplotlib
    * pycaret
  

  Data Pre-processing

  Compared multiple regression models using pycaret’s compare_models function. Then took the top 3 models based on the r2 score then blend the model by using pycaret blend_models function.

  For more detailed information about the model.

Residual Plot

Top 3 Models

Voting Regressor Prediction Error Plot

Catboost Model Feature Importance Plot

SHAP - Catboost Model Feature Importance Plot