ML Algorithms
- Regression
- Linear Regression
- Logistic Regresssion
- Non Linear Regression
- Linear Discrimant Analysis (LDA)
- Classification
- Clustering
- Decision Tree
- ID3, C4.4 and CHAID
- Bayes Classification
- K-Nearest Neighbor (KNN)
- Learning Vector Quantization (LVQ)
- Support Vector Machine (SVM)
- Ensemble Algorithms
- Bagging and Random Forest
- Boosting and Adaboost
- Generative Adversarial Networks (GANs)
- Graph Neural Networks (GNN)
- Association Rules and Apriori Algorithm
- Rule Generation and Pattern Evaluation
- Artificial Neural Networks
- Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics
- Parallel K-means using Map Reduce on Big Data Cluster Analysis
- Predictive Analytics 1
- Predictive Analytics 2
- Feature Engineering
- Regularization
- Embedding and Estimators
- Vector Embeddings
- Dimensionality Reduction
- Others