Exponential Smoothing

Exponential Smoothing is used to weight data from previous time periods with exponentially decreasing importance in the forecast. …

An Introduction to Forecasting

Forecasting, the art or science of predicting the future, is used in the decision making process to help business people reach conclusions about buying, selling, producing, hiring and many other actions.
Time-series data are the data gathered on a given characteristic over a period of time at regular intervals. The technique…

Autocorrelation

Correlation coefficient is a ratio which defines the relationship between two random variables.
For example, if we are trying to find a correlation between x and y variable. …

Confused with Confusing Confusion Matrix…!!!

The first time I looked at a Confusion matrix I was actually confused. In Spite of learning it in the class almost every time, I could never get the knack of it.The words “True Positive”, “False Positive”, “Type I and Type II error” were always confusing.Finally …

A Basic understanding to Support Vector Machine

As we all know Machine Learning consists of three types of learning; Supervised learning, Unsupervised learning, Reinforcement learning, and
Support Vector Machine or SVM lies in the category of Supervised learning.
SVM is a kind of supervised learning used for Classification and Regression analysis.

To understand how it helps in…

The Wonders of Dimensionality Reduction : Singular Value Decomposition

Singular value decomposition is another efficient technique to reduce dimensions in a large data set.

If we have a data matrix, we can represent the input matrix as a product of three different matrices, generally represented as U, ∑, V.
This method is called as Singular value decomposition. Tulsipatro

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