Supervised Learning Models
Linear Regression
Logistic Regression
Decision Tree
Random Forest
Support Vector Machine
Naive Bayes
K-Nearest Neighbors
Bagging-Boosting
Neural Network
Unsupervised Learning Models
DBSCAN
Estimation Maximization
Hierarchical Clustering
K-Means Clustering
Locally Linear Embedding (LLE)
Manifold Learning
Principal Component Analysis (PCA)
Probability and Statistics
Probability
Statistics & Descriptive Statistics
Hypothesis Testing
Bayesian Statistics
Behavioral HR
Self-Assessment & Personal Qualities
Career Motivation & Goals
Work Experience & Achievements
Handling Challenges & Problem Solving
Interpersonal Skills & Workplace Behavior
Job Fit, Company Knowledge & Logistics