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Machine Learning

Data Analyst

A Data Analyst is a specialized role within the Business Analyst profession that focuses on analysing data to draw meaningful insights from it.  Skills of Data Analyst A Data Analyst uses their analytical skills to assess, manipulate, and interpret large amounts of information in order to provide organizations with strategic solutions and advice. They use […]

Data Analysis

Data Analysis is the process of examining data sets to draw conclusions about the underlying information. It involves cleaning and filtering data, transforming data into insights that can be analyzed, visualized, and used to inform decisions.  Data analysis can help identify patterns and trends in the datasets, provide an understanding of how the data is […]


Covariance is a measure of the joint variability between two random variables. It essentially measures how similarly these variables move together over time, or how much one variable changes as the other does.  Covariance is a measure of the joint variability of two random variables. If the greater values of one variable mainly correspond with […]

Cost Function

In machine learning, a Cost Function is a function that measures the discrepancy between the actual output and the desired output. It helps to identify whether our model is performing well or not. The cost Function is usually represented by an equation, in which each parameter (or variable) of the model can be studied.  Uses […]


Correlation is a statistical measure of the strength and direction of a relationship between two variables. It helps to describe the linear relationship between two variables, indicating how one variable changes as the other changes.  Correlation can range from -1 to +1, where -1 indicates a perfect negative correlation (as one variable increases, the other […]

Confusion Matrix

A Confusion Matrix is an important tool for measuring the performance of a predictive model. It is a tabular representation of the actual and predicted labels or outcomes in a classification problem, which can help evaluate how well a predictive model is performing.  Matrix The matrix consists of four cells representing true positives, false positives, […]