Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers.
This project aims to perform a comprehensive analysis of Airbnb data to gain insights into the rental market and understand factors that influence pricing and availability in different neighborhoods and room types.
With the increasing use of online payment systems and digital transactions, the risk of payment fraud has become a significant concern for banks and financial institutions. Detecting fraudulent transactions accurately and efficiently is crucial to protect customers and prevent financial losses.
Coffee is one of the most popular beverages consumed worldwide, and its quality greatly influences the overall coffee-drinking experience. The quality of coffee is determined by various factors such as flavor, aroma, acidity, body, balance, and overall taste. Coffee producers and roasters are constantly striving to improve the quality of their products to meet consumer preferences and market demands.
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, emerged in late 2019 and quickly spread globally, affecting millions of people and causing significant loss of life. As the pandemic progressed, data on the number of COVID-19 cases, deaths, and recoveries were collected and made available for analysis by health organizations and researchers worldwide.
Customer Lifetime Value (CLV) is a crucial metric for businesses to understand the value of their customers over time. It quantifies the revenue a company can expect from a single customer during their entire relationship with the business. Predicting CLV helps businesses make informed decisions on customer acquisition, retention, and marketing strategies.
In today's digital world, cybersecurity is of utmost importance as it ensures the protection of sensitive information and systems from potential threats. Cybersecurity anomaly detection plays a crucial role in identifying and mitigating cyber threats, such as intrusions, malicious activities, or abnormal behavior, before they cause significant damage to a system or network.
Medical costs can vary significantly from one individual to another, depending on various factors such as age, sex, BMI (Body Mass Index), number of children, smoker status, and region. Analyzing and understanding the patterns in medical insurance costs is crucial for both insurance providers and policyholders. For insurance providers, it helps in setting appropriate premiums based on risk factors, while for individuals, it can aid in making informed decisions about insurance coverage.
Sleep is a fundamental aspect of human health and plays a vital role in physical and mental well-being. The quality and duration of sleep can significantly impact a person's overall health, productivity, and quality of life. In today's fast-paced world, sleep disorders, stress, and lifestyle factors can often lead to inadequate or poor sleep patterns, affecting a large number of individuals.
The goal of this project is to analyze video game sales data and gain insights into the video game industry. The dataset used contains information about various video games, including their names, release years, sales in different regions (North America, Europe, Japan, and others), genres, publishers, platforms, and more.
