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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 […]

## Cross-Validation

Cross-Validation is a resampling method used in machine learning to assess the accuracy of a model. It is an iterative process, where the data is split into subsets, which are then used as independent training and testing sets.  This allows us to measure the performance of our model with unseen data. The goal of Cross-Validation […]

## Covariance

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

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 […]

## Convolutional Neural Network

Convolutional Neural Networks (CNNs) are a type of Deep Learning algorithm that is used to improve the accuracy of computer vision and natural language processing tasks. CNNs use convolutional layers, which are designed to identify patterns in images or text. The convolutional layers analyze an image or text input by connecting its features to separate […]

## Continuous Variable

A continuous variable is an infinite set of numerical values that represent a range of real-world phenomena. It is different from a discrete variable in that it can be described by any point in the range and not just by specific numbers.  Uses of Continuous Variable Continuous variables are often used to measure physical and […]

## 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, […]

## Conditional Probability

Conditional probability is the measure of the probability of an event or outcome occurring given that another event has already occurred.  It essentially provides a tool for measuring how likely it is that an event will happen based on the occurrence of some other related event. For example, if we are interested in calculating the […]