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Machine Learning Modules

Posted on 2023-05-31 03:17:14

K Mean Clustering

K-means clustering is an unsupervised machine learning algorithm that partitions data into distinct clusters based on minimizing the within-cluster sum of squares. It iteratively updates cluster centroids to group data points with similar characteristics. K-means is widely used for tasks like customer segmentation, image compression, and anomaly detection.

Posted on 2023-05-31 02:52:48

Support vector Machine

Support Vector Machines (SVMs) are a powerful machine learning algorithm for classification and regression tasks. They find an optimal hyperplane to separate data points, using kernel functions for non-linearly separable data. SVMs are widely used in various domains for their effectiveness and versatility.

Posted on 2023-04-18 06:00:52

Logistic Regression

Logistic regression is a powerful statistical method used for predicting the probability of a certain event occurring based on a set of predictors. It is widely used in various fields and has several advantages such as its ability to handle both categorical and continuous variables and its interpretability. However, it also has limitations such as its assumptions of linearity and independence, and its requirement for a large sample size

Posted on 2023-04-18 05:57:44

Polynomial Regression

Polynomial regression is a technique used to model complex and nonlinear relationships between variables. It involves important steps such as data preparation, model fitting, and performance evaluation. This technique can provide valuable insights and be useful for prediction and forecasting.

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