Data Science
USD/ZAR Market Sentiments and Predictions: Advanced Approach to Time Series Analysis
In this example we carefully looked at official currencies of the United States of America and Republic of South Africa bought and sold on foreign exchange markets. More generally, we properly focused on the closing price of…
Read moreSolving Classification Problems using Deep Neural Networks
Although, there are numerous algorithms that one can select from (such as regression, naive bayes, support vector machine, ensemble etc.,) to solve classification problems. In this example, deep neural networks…
Read moreMachine Learning using H2O.ai
Import Library H2O the leading open source machine learning and artificial intelligence platform. This leading platform undoubtedly makes scripting of algorithms seemingly easy. It typically uses driverless technology that promptly removes the specific need to invariably do extensive and costly feature…
Read moreComparing Parametric Methods: Advanced Approach to Regression Algorithms
Simple linear regression is a model used to determine the influence of a dependent variable on an independent variable. One can use this model to predict a continuous variable. Regression…
Read moreActuarial Analysis using the Kaplan-Meier Estimator
In survival analysis, independent variables can either be time, categorical, or continuous. Meanwhile, the dependent variable is always binary. Data is non-normal and skewed due to a short or long…
Read moreChurn Prediction using the Logistic Regression Classifier
Logistic regression allows one to predict a categorical variable from a set of continuous or categorical variables. In logistic regression, the independent variables can either be continuous or categorical. However, the dependent variable is always binary. Logistic regression…
Read morePrincipal Component Analysis and Vector Quantization using K-Means
Cluster analysis is used to find a group of observations that have similar observations. This model is concerned with finding group cases that are closer to each other and different…
Read moreBeyond Regression Analysis – Introduction to Machine Learning
Simple linear regression is a model used to determine the considerable influence of a continuous or categorical independent variable on a continuous dependent variable. This model finds the extent to…
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