Order of learning Algorithms for datascience. Please help me

@sekhar7791 wrote:

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

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