Machine Learning Programmer

  Data scientists are professionals with expertise in different interdisciplinary skills like Machine Learning, data mining, and statistics. Data Science professionals need to learn the application of multiple ML algorithms to solve various types of problems as only one algorithm may not be the best option for all issues. You can join a  Machine Learning Bootcamp  to gain competency in using frequently applied Machine Learning algorithms. Top Machine Learning Algorithms in Data Science Below are the most important ML algorithms that Data Scientists can learn in  Machine Learning Training : Linear Regression:  Regression analysis is a method of evaluating and determining the relationship between dependent variables and data sets. It tackles the regression problems, while logistic regression tackles the classification problems. Linear regression is an old and most popularly used ML algorithm that Data Science professionals often use. Decision Tree:  As its name suggests, a decision tree