/Predicting-Individuals-who-are-most-likely-to-have-or-use-a-bank-account-using-Python

Moringa_Data_Science_Core_W1_Independent_Project_2019_08_Josephine_Wanjiku_Python_Notebook

Primary LanguageJupyter NotebookMIT LicenseMIT

Moringa_Data_Science_Core_W1_Independent_Project_2019_08_Josephine_Wanjiku_Python_Notebook

{Predict which individuals are most likely to have or use a bank account.}

{IP WEEK 1 DATA SCIENCE CORE}, {August, 2019}

By {Josephine Wanjiku}

Description

  • Research question: Predict which individuals are most likely to have or use a bank account.

  • Provide an indication of the state of the financial inclusion in kenya, Rwanda, Tanzania and Uganda

  • Provide insights into some of the key demographic factors that might drive individual's financial outcomes.

  • Exploratory Data Analysis.

  • Univariate, Bivariate and Multivariate Analysis.

  • Reduction techniques:Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA).

  • Mutiple Linear Regression Analysis.

  • Logistic Regression Analysis

Setup/Installation Requirements

  • Google colab/jupyter notebook
  • Python basics
  • Python libraries
  • Github

Known Bugs

{There are no known bugs in this project. }

Technologies Used

{Python}

Support and contact details

{Any issues, questions, ideas, concerns or contributions to the code are highly encouraged.

Contacts : josephinewanjiku748@gmail.com }

License

{MIT License. See below for more details on licensing.}

Copyright (c) {year} {Moringa School Data Science Core 1}