DATA QUALITY ASSESSMENT,CLEANING & ANALYSIS USING PYTHON
I used Python and libraries like Pandas, Seaborn and Matplotlib to analyze the Prosper Loan dataset. After loading and cleaning the data, I created visualizations to identify patterns and relationships between variables. Finally, I used statistical techniques like hypothesis testing to draw insights and make predictions about the loan data