Class Imbalance Problem in Classification Domain
Class Imbalance Problem in Classification Domain …
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Classification Models for ML : Case Study on Logistic Regression
Classification Models belongs to the category of Supervised model, and should be used when we have to predict the target variable that is Categorical in nature, e.g. There are two
Continue reading…Classification Models for ML : Case Study on Logistic Regression
Non-Linear Models for Regression
So far we discussed about the linear models of Regression like Linear Regression [OLS] and SVM [with kernel as linear]. Here we will talk about the non-linear regression models like
Ridge and Lasso Regression
When Linear Models like Linear Regression (OLS) model starts to show signs of Overfit, we have to consider Generalization. One of the way to achieve the same is via Regularization.
UnderFitting and OverFitting in ML
Understand the UnderFitting and OverFitting in ML. Here I am mentioning techniques to avoid them in case of linear models, non-linear models and Deep learning …
Linear Regression Using Python
Linear Regression using Python …
Data Visualization Tools
Today there are a vast number of Data Visualization and Reporting tools available in market. Using these tools we can create intelligent reports, dashboards and story boards for business users