Projects
Practical Data Science Projects for Hands-On Learning.
Health-Spending-and-Life-Expectancy
Based on matplotlib, Seaborn is a Python data structure library for data visualization that works well with pandas. The main component of Seaborn that aids in data exploration and understanding is visualization. To illustrate Seaborn and its powerful plotting capabilities,it is helpful to have example datasets readily available for plotting.For this, Seaborn provides a simple-to-use interface for loading datasets into Pandas dataframes.
A crucial factor in determining a country's health is its life expectancy. The datasets include information on life expectancy for the population from 1970 and 2000,and also healthcare expenditure for the corresponding country.
Sentiment Analysis of a Restaurant
Restaurants have the opportunity to attract a growing number of clients thanks to their online presence. Restaurants today want to know what customers think of their cuisine and service. They find it useful to know what patrons think about their eatery. Restaurants are able to examine data and quantify client feedback. Sentiment analysis can be used to accurately quantify this information.
I used text classification to analyze the text data and perform sentiment analysis.
E-COMMERCE SALES ANALYSIS DASHBOARD
An eCommerce sales analysis dashboard to provide the business with a comprehensive view of their sales performance and help them make data-driven decisions to grow their business.
Supermarket Sales Report
This report examines the sales and gross income of a historic supermarket with three different branches, the products that generate more income, and how customers relation affect sales. The purpose of this report is to analyze the difference in sales across the branches and utilize analytics to transform data into business acumen and drive wise decision-making to keep up with customers' changing purchasing patterns.
