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Basel II Regulations

Basel II is a set of international banking regulations established by the Basel Committee on Banking Supervision (BCBS) that provides guidelines on how much capital banks need to hold to safeguard ...

Website Traffic Analysis

Objective Business problem Approach Key findings Recommendations Analyzing Traffic Sources Website content analysis is about understanding which pages are seen the most by our users, and identify...

Spirit Airline Database Analysis

Objective Business problem Approach Key findings Recommendations Summary The dataset contains information about sample airline bookings, including the number of passengers, sales channel, trip...

Data Handling with Python

DISCLAIMER This is theory of investment strategies and presented in this example for educational purpose only. This is not intended to be, and should not be considered as, financial advice...

Ridge Regression

Summary This regression algorithm applies regualization to deal with overfifted data. The method uses L2 regularization. Inputs Numerical Categorical Preprocessing Standardization R...

Employees HR Analysis

2024-06-19 07:54:08 DESCRIPTION This dataset contains 100,000 rows of data capturing key aspects of employee performance, productivity, and demographics in a corporate environment. It includes de...

Employees Database

Summary This database is designed to store information about employees, departments, roles, and salaries. The employee database schema is designed to store comprehensive information about employee...

Noise in Human Judgement

Summary Organizations expect to see consistency in their decisions of their employees, but humans are unreliable. Algorithm can reduce noise. Although algorithms may seem daunting to construct, bu...

Consumer Complaints Database Analysis

Objective Business problem Approach Key findings Recommendations Summary This dataset serves as a valuable resource for identifying trends, assessing company practices, and informing policy decis...

Naive Bayes

Summary This algorithm performs classification according to Bayes Theorem. The model assisgns a sample to the class with the largest conditional probability. Inputs Numerical Categorical ...