ML-Models-from-Scratch-and-Apps

create ML models from scratch for better understanding and to empower the knowledge of machine learning domain.

build popular ML models supervised and unsupervised:

A. Supervided Models (Classification and Regression):

1. KNN (classification - clssify based on closest K points + Regression - Get the average).
2. Linear Regression (Regression).
3. Logistic Regression (Binary Classifiction - 2 Classes).
4. Decision Trees
5. Random Forest
6. Naive Bayes
7. Perceptron (Binary Classifiction - 2 Classes).
8. SVM

B. Unsupervided Models (Clustering and Dimensionality Reduction)

1. KMeans (clustering).
2. DBSCAN (Hierarchical Clustering)
3. PCA ( Dimensionality Reduction).
4. Kernel PCA
5. t-Distributed Stochastic Neighbor Embedding (t-SNE)

C. Anomaly Detection

Isolation Forest

D. Association Rule Learning

Apriori