List of 120 Data Science Algorithms

Serial No.	Regression Algorithms	Classification Algorithms	Clustering Algorithms	Deep Learning Algorithms	NLP Algorithms	Time Series Algorithms
1	Linear	Decision Tree	K-Mean	Percpetron	Text Processing	Autoregressive
2	Multi-variate	Random Forest	Hierarchical	Multi-Layer Perceptron (MLP)	Text Classification	Moving Average
3	Polynomial	Support Vector Machine	DB SCAN	Radial Basis Function Network	Sequence Modelling	Autoregression Moving Average
4	Ridge (L2)	K-Nearest Neighbor	OPTICS	Self Organizing Maps (SOM)	Named Entity Recognition	Autoregressive Integrated Moving Average
5	Lasso (L1)	Naive Bayes	Mean Shift	LeNet	Text Generation	Seasonal Autoregressive Integrated Moving Average
6	Elastic Net	Gradient Boosting	Gaussian Mixture Model (GMM)	Alex Net	Machine Translation	Autoregressive Integrated Moving Average with Exogenous Regressors
7	Support Vector	Ada Boost	Agglomerative	VGG Net	Sentiment Analysis	Seasonal Autoregressive Integrated Moving Average with Exogenous Regressors
8	Decision Tree	Neural Network	Spectral	Google LeNet	Question Answering	Exponential Smoothing
9	Random Forest	Linear Discriminant Analysis (LDA)	BIRCH	ResNet	Semantic Similarity	Generalized Autoregressive Conditional Heteroskedasticity
10	K-Nearest Neighbor	Quadratic Discriminant Analysis (QDA)	Affinity	DenseNet	Conference Resolution	State Space Models
11	Bayesian	Ridge	Fuzzy C-Means	LSTM	Dependency Parsing	Box-Jenkins Methodology
12	Quantile	Elastic Net	HDBSCAN	GRU	Language Modelling	Recurrent Neural Networks (RNN)
13	Poisson	Extreme Gradient Boosting (XGB)	K-Medoids (PAM)	Seq2Seq	Word Embedding & Representation	Fourier Transform and Spectral Analysis
14	Logistic	Light GBM	Clustering Using Tolerance	Transformer	Dialogue System	Prophet (by Facebook)
15	Robust	Cat Boost	Self Organizing Map (SOM)	GAN	Attention Mechanisms	Dynamic Time Warping (DTW)
16	Huber	Stochastic Gradient Descent (SGD)	Dendrogram	Variation Autoencoder (VAE)	Pretrained Language Models	Wavelet Transform
17	Negative-Binomial	Hidden Markov Models	K-Modes	Graph Convolution Network (GCN)	Zero-shot & Few shot learning	Isolation Forest
18	Zero Inflated	Rule-Based	X-Means	Graph Attention Network (GAT)	Dialogue Management & Reinforcement	Seasonal Decomposition of Time Series (STL)
19	Non-Parametric	KNN Search	Subspace	Denoising Diffusion Probabilistic Models (DDPM)	Multi-modal NLP	Convolutional Neural Networks (CNN) for Time Series
20	Generalized Linear Models (GLM)	One-vs-Rest (OVR)	Bregman Divergence	Efficient Net	Graph-based Approaches	Statistical Methods (e.g., Z-score, IQR)