Essential Machine Learning Algorithms

" An algorithm must be seen to be believed."  ~Donal Knuth

For anyone new in data science the first problem they face is which algorithms to learn. There are a ton of machine learning algorithms that they can learn, but first they need to decide where to start? Here is a list to most essential machine learning algorithms to start with. This is not the most comprehensive list of algorithms but it's just enough to get you stared.

Supervised Learning Algorithms

• k- nearest Neighbors Algorithm
• Linear Regression
• Logistic Regression
• Support Vector Machine
• Decision Tree
• Random Forest
• Neural Network

Unsupervised Learning Algorithms

1. Clustering

• K-means
• Hierarchical Cluster Analysis
• Expectation Maximization 

      2. Visualization and Dimensionality Reduction

• Principal Component Analysis
• Kernel Principal Component Analysis
• Locally Linear Embedding
• t-distributed Stochastic Neighbor Embedding

      3. Association Rule Learning

• Apriori
• Eclat