Bindeshwar S. Kushwaha

Gamma Probability Density Function

Gamma Function and Gamma Probability Density Function

Gamma function and Gamma Probability Distribution Gamma function and Gamma probability density both are very important concepts in mathematics and statistics. Furthermore, understanding Gamma function and Gamma probability density helps to understand chi-square distribution which plays very important role in machine learning. Especially, in Decision Tree Learning Chi-Square distribution used. In this post, I will

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Linear Programming Problem

Linear Programming Problem Solution in Python

Linear Programming Problem The problem of formulating an objective function and constraints an establishing relationship between variables is called a programming problem (LPP). If objective function and constraints are linear then the problem is called linear programming problem. Example- Sometimes, you come across the situation when you need to optimize your algorithm. If you can

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Principal Component Analysis(PCA)

Principal Component Analysis(PCA)

Principal Component Analysis(PCA) Principal Component Analysis (PCA) is an unsupervised machine learning feature reduction technique for high-dimensional and correlated data sets. Images and text documents have high dimensional data sets which requires unnecessary computation power and storage. Basic goal of PCA is to select features which have high variance. High variance of a feature indicates

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