Credit Card Fraud Detection

The Data Science Lifecycle is focused on the application of machine learning and various analytical methods to extract insights from data to achieve a company goal. The complete procedure includes several activities, such as data cleansing, preparation, modeling, and model evaluation. It is a time-consuming process that could take months to complete The lifecycle of the data science process: Business Understanding  The overall cycle revolves around the company's objectives. Considering that the study's ultimate goal is to fully understand the business objective, this is essential. For instance, You must determine if the consumer wishes to estimate the rate of a commodity or if he wants to minimize savings loss. Data comprehension The following step is to obtain a better grasp of the data after gaining a better understanding of the company. Classifying the data, its structure, its significance, and the types of information it contains are all part of this process. Data can be ex...

  Data science is an exciting field today. As more companies rely on data-driven decision-making skills, the demand for people who can handle large amounts of data and make sense of it has increased. According to a McKinsey Global Institute study, there will be a shortfall of approximately 2 lakh data scientists in the United States by 2028.   The shortfall is expected to worsen on a worldwide scale, particularly in consumer areas such as India. According to Glassdoor, the average income of a data scientist in India is roughly Rs 10.58 lakhs per year, which is higher than the national average of Rs 3.93 lakhs. With India's increasing use of smartphones and applications, the need for data-driven decisions across businesses is anticipated to grow. As a result, a growing number of universities and institutes are offering data science courses to assure a stable supply of skilled workers. Learnbay is one of the  Best Data Science courses in Hyderabad  which offe...