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Browsing Category

# Machine learning

## Naive Bayes Algorithm In Python

In spite of the greatest advancement in machine learning in last few years, Naive Bayes classifier has proved out to be one of the most simple, accurate and reliable algorithms which are widely used in industrial applications. It works…

## Random Forest Using Python and Sci-kit Learn

Random Forest, which actually is an ensemble of the different and the multiple numbers of decision trees taken together to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone…

## Decision Tree and Its Implementation In R

Introduction A Decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm…

## Support Vector Machine

Table of Contents Introduction How does Support Vector Machine work (SVM) ? Kernel trick Implementing SVM in Python Advantages and Disadvantages Applications Introduction Support Vector Machine (SVM) is a popular supervised machine learning…

## Hierarchical Clustering Using Python and Scipy

Table of contents Introduction to Hierarchical Clustering Using Python Types of hierarchical clustering Pseudocode Linkage measures Space and Time complexity Implementing Hierarchical clustering in Python Advantages and Disadvantages…

## K – Means Clustering Algorithm

“What gets measured, gets managed ” – Peter Drucker Table of Contents Introduction Types of clustering When to use it? Pseudocode How does it work? Distance measures Important hyper-parameters Choosing the optimal k value Picking the…

## A Refresher on Regression Analysis

In statistics, a data build a model, but it is also true that a model can build the data. For example, the yield of a crop can be predicted by using the amount of fertilizers, irrigation techniques and fertility of the soil as a predictor…

## Random Forest Algorithm

“Data will talk to you if you are willing to listen to it” – Jim Bergeson Table of Contents Real-time analogy Properties How does it work? Pseudocode Feature importance Important Hyperparameters Implementing Random Forest in Python…

## Decision Tree In Machine Learning

You will be amazed if I tell you that a decision tree has many analogies in real life and has an influence on a wide area of machine learning. There are a bazillion gazillion applications which include detection of Fraudulent financial…

## K Fold Cross Validation

“If you torture the data long enough, it will confess” – Ronald Coase For any machine learning model you design, what is the most common and the important thing you expect from it. Yes, the expected accuracy rate. Conventionally, you used…