kyawsawhtoon/Project-Tanzania-Water-Wells

The goal of this project is to construct a classification model that can be used to predict the condition of water wells in Tanzania in terms of 3 statuses: 'functional', 'functional but needs repair' and 'non functional' # Repository Files The followings are the file you can find in this repository and their descriptions. Module 3 - Final Project (Pump it Up).ipynb - Module 3 Final Project's Jupyter Notebook presentation.pdf - High-level presentation of methodology and recommendations for non-technical stakeholders README.md - Descriptions of contents of the repository TrainingSetValues.csv - The independent variables for the training set TrainingSetLabels.csv - The dependent variable (status_group) for each of the rows in Training set values TestSetValues.csv - The independent variables that need predictions SubmissionFormat_Complete.csv - The predictions generated by the final model Confusion Matrix.jpg - The confusion matrix chart of the final model Performance Metrics Comparison.jpg - The horizontal bar chart that shows the performance scores of various models Feature Importance.jpg - The horizontal bar chart that shows the importance of each independent variable Top 5 Feature Importance.jpg - The horizontal bar chart that shows the importance of top 5 independent variable # Project Motivation The goal of this project is to construct a classification model that can be used to predict the condition of water wells in Tanzania. This model will classify the condition of water wells into 3 categories namely - functional - the waterpoint is operational and there are no repairs needed functional needs repair - the waterpoint is operational, but needs repairs non functional - the waterpoint is not operational # Project Process My approach for this project is to follow the OSEMN framework. The steps of this framework is as follow - Obtain the data Scrub the data Explore the data Model the data Interpret the data # Data Source To construct this model, I will use the data from Taarifa and the Tanzanian Ministry of Water. The original data is originally divided into 3 csv files - Test set values: The independent variables that need predictions Training set labels: …