Implement Machine Learning Algorithm From Scratch

As known; there are a lot of frameworks for machine learning applications. The model can be created in a short time using these framework. In addition to creating models, it is also important to get into the depth of algorithms. If we learn the mathematical background of machine learning algorithms, we can also improve the new innovative algorithms.

Check my Kaggle account or GitHub account and learn the algorithm details.

• Naive Bayes

Sarcasm Naive Bayes without any framework

• Bayesian Decision Theory

Bayesian Decision Theory (not using any framework) | Kaggle

• K means Clustering

K-Means Clustering( Not Using Any FrameWork) | Kaggle

• LDA

LDA (not using any framework) | Kaggle

• PCA

PCA (not using any framework) | Kaggle