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Deploying a Machine learning model as a Chatbot (Part 1) | by Abdulquadri Ayodeji Oshoare | Nov, 2021
The Dataset we are going to use is the Loan prediction dataset. The loan prediction dataset is a unique dataset that contains 12 columns. The data was gathered to predict if a customer is eligible for a loan.The Dataset is publicly available on Kaggle and can be accessed using this link.Let's Start with the bottom-up approach and build a simple Machine learning model. For this project, we would not be concerned with achieving high accuracy on our models. We only need enough accuracy so that our chatbot can make decent predictions on the fly.Loading and Analyzing the DataWe start by importing the necessary libraries like Pandas, NumPy, Matplotlib, and seaborn. We then use pandas read_csv() to read the data.#import neccessary libraryimport pandas as pdimport numpy as npimport matplotlib.pypl...
