List Of Models

Sr. No.	Model Family (Learning Type)	Model Type	Model Name	Popular Implementations / Models	Use Cases
1	Supervised Learning	Regression / Linear Models	Linear Regression	Scikit-learn LinearRegression	House price prediction, forecasting
2	Supervised Learning	Regression / Linear Models	Logistic Regression	Scikit-learn LogisticRegression	Spam detection, credit scoring
3	Supervised Learning	Tree-Based Models	Decision Tree	CART (Classification & Regression Trees)	Loan approval, diagnosis
4	Supervised Learning	Ensemble (Bagging)	Random Forest	RandomForest (Scikit-learn)	Fraud detection, risk modeling
5	Supervised Learning	Ensemble (Boosting)	Gradient Boosting	XGBoost, LightGBM, CatBoost	Ranking, fraud detection
6	Supervised Learning	Distance-Based	k-NN	Scikit-learn KNN	Recommendation, similarity search
7	Supervised Learning	Probabilistic	Naive Bayes	GaussianNB, MultinomialNB	Spam filtering, NLP
8	Supervised Learning	Margin-Based	SVM	LIBSVM, Scikit-learn SVM	Text classification, bioinformatics
9	Supervised Learning	Neural Networks	ANN	TensorFlow / PyTorch basic NN	Prediction, pattern recognition
10	Supervised Learning	Deep Learning	CNN	ResNet, VGG, EfficientNet	Image recognition, medical imaging
11	Supervised Learning	Deep Learning	RNN / LSTM	Seq2Seq, LSTM (Keras/PyTorch)	Speech, time-series
12	Supervised Learning	Deep Learning	Transformers	GPT, BERT, T5, LLaMA	Chatbots, search, translation
13	Unsupervised Learning	Clustering	K-Means	Scikit-learn KMeans	Customer segmentation
14	Unsupervised Learning	Clustering	DBSCAN	Scikit-learn DBSCAN	Anomaly detection
15	Unsupervised Learning	Clustering	Hierarchical	SciPy Hierarchical Clustering	Taxonomy, grouping
16	Unsupervised Learning	Probabilistic	GMM	Scikit-learn GaussianMixture	Soft clustering
17	Unsupervised Learning	Dimensionality Reduction	PCA	Scikit-learn PCA	Visualization, compression
18	Unsupervised Learning	Dimensionality Reduction	t-SNE	sklearn / openTSNE	Embedding visualization
19	Unsupervised Learning	Neural Networks	Autoencoders	TensorFlow / PyTorch AE	Anomaly detection
20	Unsupervised Learning	Association Rules	Apriori	mlxtend Apriori	Market basket analysis
21	Semi-Supervised	Hybrid	Self-Training	Pseudo-labeling pipelines	Medical imaging
22	Semi-Supervised	Graph-Based	Label Propagation	sklearn LabelPropagation	Social networks
23	Semi-Supervised	Neural Networks	Semi-Supervised NN	FixMatch, MixMatch	NLP, speech
24	Reinforcement Learning	Value-Based	Q-Learning	OpenAI Gym implementations	Robotics, games
25	Reinforcement Learning	Deep RL	DQN	DeepMind DQN	Gaming, control systems
26	Reinforcement Learning	Policy-Based	Policy Gradient	REINFORCE	Robotics
27	Reinforcement Learning	Actor-Critic	PPO / A2C	Stable-Baselines3	Trading, optimization
28	Optimization / Evolutionary	Evolutionary	Genetic Algorithms	DEAP library	Scheduling, optimization
29	Optimization / Evolutionary	Swarm	Particle Swarm Optimization	PySwarms	Hyperparameter tuning
30	Optimization / Evolutionary	Swarm	Ant Colony Optimization	ACO algorithms	Routing, logistics
31	Rule-Based / Symbolic	Expert Systems	Rule-Based Systems	Drools	Business rules
32	Rule-Based / Symbolic	Knowledge-Based	Knowledge Graphs	Neo4j, RDF Graphs	Search, recommendations
33	Ensemble Learning	Bagging	Bagging	Scikit-learn Bagging	Variance reduction
34	Ensemble Learning	Boosting	AdaBoost	AdaBoost (sklearn)	Classification improvement
35	Ensemble Learning	Stacking	Stacking	StackingClassifier	High accuracy systems
36	AI Systems (Hybrid)	RAG	Retrieval-Augmented Generation	LangChain, LlamaIndex + GPT	Enterprise chatbots, QA
37	AI Systems (Hybrid)	Agentic Pipelines	AI Agents	AutoGPT, CrewAI, LangGraph	Task automation, research agents