Senior Data Scientist, Mawdoo3 Ltd
Chief Science Officer at DataPrime, Inc.
Head of Data Science, Slated
Senior Applied Scientist, Amazon
In this machine learning classification project, you will build a multi-class classification model in Python on Saturn Cloud to predict the license status of a business.
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The Jupyter Notebook is a potent tool for interactively developing and presenting data science projects. The easiest way for anyone to get started with Jupyter Notebooks is by installing Anaconda. Anaconda is the most widely used Python distribution for data science and comes pre-loaded with all the most popular libraries and tools.
Just like Anaconda, Saturn Cloud is another computing environment. Saturn Cloud is a data science platform that helps people quickly do work using whatever technology they need, including high-memory computing, GPU processors, and Dask clusters. You can use Saturn Cloud with Python, R, or nearly any other programming language.
In this project, we will be creating a Jupyter Server on the Saturn cloud platform for executing our Multiclass label classification project.
We are dealing with a licenses dataset that holds various information related to the business license. This dataset consists of around 86k rows and 32 columns. Some of the essential categories are a timeline of the application, type of business, location details of the business, and payment details. Here, the dependent variable is license status that has five classes.
The objective of our problem is to predict the license status for the given business.
Import the required libraries and read the dataset.
Exploratory Data Analysis (EDA) -
Feature Engineering
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