https://builtin.com/data-science/tour-top-10-algorithms-machine-learning-newbies

https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/


Top Machine Learning Algorithms to "create Models"

Linear Technique
01) Linear Regression
02) Decision Tree
03) Random Forest
04) AdaBoost (XG Boost)
05) Gradient Boost

Classification Technique
06) Logistic Regression
07) Support Vector Machines (SVM)
08) K-Nearest Neighbors (KNN)

Unsuporized Technique
09) K-Means
10) Collobartive Filtering

Others
01) Naive Bayes
02) Linear Discriminant Analysis
03) Classification and Regression Trees
04) Learning Vector Quantization (LVQ)
05) Boosting
06) Dimensionality Reduction Algorithms

https://www.youtube.com/watch?v=gN1nQT-lA_k&t=13s

Live Scoring
Batch Scoring

https://www.geeksforgeeks.org/ml-advantages-and-disadvantages-of-linear-regression/

Liener may not be accurate -
https://www.kaggle.com/discussions/general/352609