Before start reading this blog you should be clear on the below topics ANN Deep learning frameworks How to deal with Categorical data Cross validation and Parameter tuning In this tutorial we will see how to use Keras for classification problem and we will also learn how to use cross validation and Cross Validation/parameter tuningContinue reading “Classification with Artificial Neural Networks(Keras)”
Category Archives: classification
Deriving Logistic regression equation
Lets derive logistic regression equation. oops we know if we use linear regression we will get continuous values, but we need binary results. We are still not done to find the final logistic regression function. Step 1: we apply some algebra knowledge here to find equation. If we move log function to another side itContinue reading “Deriving Logistic regression equation”
Classification Accuracy,Confusion matrix, AUC and ROC
we already discussed how to calculate accuracy for linear regression with the help of R-Square, Adjusted R-Square, MSE etc..Can we use the same mechanism to calculate the accuracy for classification problem? Simple answer is NO, we have different mechanism to calculate accuracy for classification problems. Classification Accuracy: It is very simple to calculate, number ofContinue reading “Classification Accuracy,Confusion matrix, AUC and ROC”
Logistic regression
Logistic regression will comes under supervised learning to solve classification problems.some real time use cases like if customer is good or bad,predicting defaulters, Email spam detection, Fraud detection etc.. Great I have a question why can’t we use linear regression to solve classification problem? As we seen above the usage of logistic regression we needContinue reading “Logistic regression”
Data and Machine by viswateja 