Data Preprocessing
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Support Vector Regression (SVR)
- Decision Tree Regression
- Random Forest Regression
- Evaluating Regression Models Performance
Classification
- Logistic Regression
- K-Nearest Neighbors (K-NN)
- Support Vector Machine (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- Evaluating Classification Models Performance
Clustering
- K-Means Clustering
- Hierarchical Clustering
Association Rule Learning
Reinforcement Learning
- Upper Confidence Bound (UCB)
- Thompson Sampling
Natural Language Processing
Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
Dimensionality Reduction
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Kernel PCA
Model Selection & Boosting
UiPath – Robotic Process Automation
