via GIPHY

Use case machine learning


Theory:

1. Why Machine Learning

2. Machine Learning Types and Algorithms

Use case:

  • Regression-> https://itsmecevi.github.io/regression/

  • Classification->

1. Logistic Regression

2. Naïve Bayes-soon

3. Stochastic Gradient Descent-soon

4. K-Nearest Neighbours-soon

5. Decision Tree-soon

6. Random Forest-soon

7. Support Vector Machine-soon

  • Clustering->

1. K-Means Clustering-soon

2. Mean-Shift Clustering-soon

3. Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-soon

4. Expectation–Maximization (EM) Clustering using Gaussian Mixture Models (GMM)-soon

5. Agglomerative Hierarchical Clustering-soon



This site using iterative development. It means the process starts with a simple implementation of a small set of idea requirements and iteratively enhances the evolving versions until the complete version is implemented and perfect. Find the file and others stuff in my github account.