Data Preprocessing – Creating Dummy Variables and Converting Ordinal Variables to Numbers with Examples Data cleaning is a critical step before fitting any statistical model. It includes: Handling missing values Handling outliers Transforming nominal variables to dummy variables (discussed in this post) Converting ordinal data to numbers (discussed in this post) Transformation (discussed in this …
Confusion Matrix, Accuracy, Precision, Recall, F score explained with an example In this post, we will learn about What is accuracy What are precision, recall, specificity and F score How to manually calculate these measures How to interpret these measures What is confusion matrix and how to construct it What is the AUC score and …
Building a Deep Learning Model using Keras In this post, let us see how to build a deep learning model using Keras. If you haven’t installed Tensorflow and Keras, I will show the simple way to install these two modules. 1. Installing Tensorflow and Keras Open Anaconda Navigator. Under Environments, create new environment in Python …
Deep learning is a powerful machine learning technique. These are widely used in Natural Language Processing (NLP) image/speech recognition robotics and many other artificial intelligence projects What is Deep Learning? A model which consists of more than three layers in a neural network model is a deep learning model. More than three layers means one …
