In previous post we just tried solving a non linear data using linear boundary. We can use multiple linear boundaries to separate classes in this kind of datasets. However, this will cause some issues which we will understand bu visualizing the problem and think about a possible solution too. Non-Linear …

Read More »## 204.5.3 Practice : Non Linear Decision Boundary

Linear decision boundaries is not always way to go, as our data can have polynomial boundary too. In this post we will just see what happens if we try to use a linear function to classify a bit complex data. Non-Linear Decision Boundaries Dataset: “Emp_Productivity/ Emp_Productivity.csv” Draw a scatter plot …

Read More »## 204.5.2 Decision Boundary – Logistic Regression

In last session we recapped logistic regression. There is something more to understand before we move further which is Decision Boundary. Once we get decision boundary right we can move further to Neural networks. Decision Boundary – Logistic Regression The line or margin that separates the classes Classification algorithms are …

Read More »## 203.5.5 Practice : Implementing Intermediate outputs in R

In this post we will learn how to implement the concept of intermediate outputs using R. We will cover many things in this session. Dataset: Emp_Productivity/ Emp_Productivity_All_Sites.csv Filter the data and take first 74 observations from above dataset . Filter condition is Sample_Set<3 Build a logistic regression model to predict …

Read More »## 203.5.4 Issue with Non Linear Decision Boundary

In previous post we just tried solving a non linear data using linear boundary. We can use multiple linear boundaries to separate classes in this kind of datasets. However, this will cause some issues which we will understand bu visualizing the problem and think about a possible solution too. Non-Linear …

Read More »## 203.5.3 Practice : Non Linear Decision Boundary

Linear decision boundaries is not always way to go, as our data can have polynomial boundary too. In this post we will just see what happens if we try to use a linear function to classify a bit complex data. LAB: Non-Linear Decision Boundaries Dataset: “Emp_Productivity/ Emp_Productivity.csv” Draw a scatter …

Read More »## 203.5.2 Decision Boundary – Logistic Regression

Decision Boundary Decision Boundary – Logistic Regression The line or margin that separates the classes Classification algorithms are all about finding the decision boundaries It need not be straight line always The final function of our decision boundary looks like Y=1 if \(w^Tx+w_0>0\) ; else Y=0 In logistic regression, it …

Read More »## 203.5.1 Neural Networks : A Recap of Logistic Regression

In this post we will just revise our understanding of how logistic regression works, which can be considered a building block for a neural network. Contents Neural network Intuition Neural network and vocabulary Neural network algorithm Math behind neural network algorithm Building the neural networks Validating the neural network model …

Read More »