EDA Capstone Project - Bank Marketing Dataset

Tools used in this project
EDA Capstone Project - Bank Marketing Dataset

About this project

  • The aim of the project is to predict whether a client subscribes to a term deposit or not and help the bank identify which factors are very crucial to make better marketing campaigns.
  • To work on the project used Google Colab, Imported Python libraries such as NumPy, Pandas, Matplotlib, Seaborn and performed data cleaning, and used correlation to find which independent variables are affecting the target variable
  • Age, communication_type, Credit_Status, Housing_loan, job marital, and Personal_loan are important features that will improve the bank’s marketing strategies to attract more clients to get a term deposit.

Project Link: https://github.com/praveen311094/EDA-Capstone-project

Additional project images

Heatmap Correlation
Univariate Analysis
Histogram for Numerical Variables
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