Category: Algorithms
Decision Tree Algorithm
Decision trees are essentially diagrammatic approaches to problem solving. These approaches are step-by-step approach and used to arrive at the final stage. As an example, let’s say, while driving a car, you […]
Random Forest Algorithm explained
It is a supervised machine learning algorithm that is constructed from decision tree algorithms, and widely used for both classification and regression problems.Tree-based structure algorithms tend to use the mean for continuous […]
Genetic Algorithm in Machine Learning
Current methods in machine learning provide approaches for solving challenging, multiple constraint design problems. While neural networks methods have state-of-the-art performance, their vulnerability in decision making processes leading to irrational outcomes is […]
Spectral Clustering Algorithm
Spectral Clustering has become one of the most popular clustering algorithms. It is simple to implement, and very often outperforms traditional clustering algorithms such as the k-means algorithm. The goal of this […]
Naive Bayes Algorithm
In a world of Artificial Intelligence, Classification and Prediction is one the most important aspects of Machine Learning and Naive Bayes is a simple but surprisingly powerful algorithm for predictive modelling, according […]
Mini Batch K-Means Algorithm
What is Clustering? Unsupervised clustering algorithms are commonly used in areas such as genomics, machine learning, pattern recognition, and data compression to divide a set of unlabeled observations into separate groups with […]
Mean Shift Clustering Algorithm
What is Clustering? A cluster is often an area of density in the feature space where examples from the domain (observations or rows of data) are closer to the cluster than other […]
Text Mining Algorithms
What is Text Mining? Text mining or text analysis, is the process of transforming unstructured text into structured data for easy analysis. Text analysis uses natural language processing (NLP), allowing machines to […]
Simple and Multiple Linear Regression
Regression analysis is a common statistical method mainly used in economic. There are several main reasons people use regression analysis: There are many different regression analyses. For the purpose of this post, […]
Hierarchical Clustering Python
The hierarchical clustering is an unsupervised Machine Learning algorithm that aims to find nested groups of the data by building the hierarchy. Hierarchical clusters are generally represented using the hierarchical tree known […]
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