I tried to list out all algorithms related to Data Science… Can some one help the order of learning…….

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**Multiclass Classification Algorithm (Classification Algorithms)**

- Decision Forest
- Decision Jungle
- Logistic Regression
- Neural Network

One vs All Multiclass

**Two-class classification algorithms (Classification Algorithms)**

- Averaged Perceptron
- Bayes Point Machine
- Boosted Decision Tree
- Decision Forest
- Decision Jungle
- Locally deep support vector machine
- Logistic Regression
- Neural Network
- Support vector machine

**Regression Algorithm**

- Linear Regression
- Bayesian Linear Regression
- Boosted Decision Tree Regression
- Decision Forest Regression
- Fast Forest Quantile Regression
- Neural Network Regression
- Ordinal Regresssion
- Poisson Regression

**Clustering Algorithm**

- K-Means Clustering
- Hierarchical Clustering
- Agglomerative clustering
- Divisive clustering
- K medoids clustering

Ridge Regression

Lasso Regression

ElaticNet

Random Forest

K-Nearest Neighbore(KNN)

Naïve Bayes

Principal Component Analysis

Dimensionality Reduction Algorithms

Gradient Boosting algorithms