Neil LibermanFeature Scaling Explained EasilyThis is a quick and easy explanation of the machine learning concept called feature scaling.1 min read·May 25, 2020----
Neil LibermanBias Variance Tradeoff Explained EasilyThis is a quick and easy explanation of the machine learning concept called bias variance tradeoff.1 min read·May 21, 2020----
Neil LibermanContinuous vs. Discrete Values Explained EasilyThis is a quick and easy explanation of continuous and discrete values.1 min read·May 21, 2020----
Neil LibermanSupervised vs. Unsupervised Learning Explained EasilyThis is a quick and easy explanation of supervised and unsupervised learning.1 min read·May 21, 2020----
Neil LibermanClassification vs. Regression Explained EasilyThis is a quick and easy explanation of classification and regression.1 min read·May 21, 2020----
Neil LibermanSplitting a Machine Learning DatasetThis is a quick and easy explanation of data splitting.1 min read·May 21, 2020----
Neil LibermanOverfitting Explained EasilyThis is a quick and easy explanation of overfitting.1 min read·May 21, 2020----
Neil LibermanLinear Regression Explained EasilyThis is a quick and easy explanation of the linear regression algorithm.1 min read·May 21, 2020----
Neil LibermanGradient Descent Explained EasilyThis is a quick and easy explanation of the gradient descent algorithm.1 min read·May 21, 2020----
Neil LibermanK-Folds Cross Validation Explained EasilyThis is a quick and easy explanation of the K-Folds Cross Validation.1 min read·May 21, 2020----