Bias and Variance is the common words which we will hear in Machine Learning. Bias: we will see this issue more in parameter Machine Learning algorithms, because most of the parameter algorithms are liner/polynomial, so It will not touch/read all data points, so we will have more error, which leads to under fitting.If you seeContinue reading “Bias-Variance and trade off”
Category Archives: Genral stuff
Types of Regression
When I ask what are the types of regression for the beginners, the expected answer will be linear regression and Logistic regression, because these are the two algorithms that all beginners will start with. Now coming to the point we have five types of regression. Linear regression Logistic regression Polynomial regression Ridge Regression Lasso RegressionContinue reading “Types of Regression”
Parametric Machine Learning
I have a finite number of parameters for example in case of linear regression, we need to find slope(m) and intercept(c), where ever we need to find the parameters we can say it parametric Machine learning algorithm. We can also say, when we work with assumptions like data should be normally distributed, multi collinearity etc…Continue reading “Parametric Machine Learning”
Hyper parameter tuning
Before going to this blog make sure you are aware about any one of the algorithms like Decision tree, Random forest.etc…. Below are the few parameters that we need for most of the algorithms. Maximum number of leaves per tree Depth of trees. Number of trees in Random forest Learning rate L1 and L2 regularizationContinue reading “Hyper parameter tuning”
Data and Machine by viswateja 