Visualize error rate vs. K plot to find the most suitable K value. — Introduction K-Nearest Neighbors is the supervised machine learning algorithm used for classification and regression. It manipulates the training data and classifies the new test data based on distance metrics. It finds the k-nearest neighbors to the test data, and then classification is performed by the majority of class labels.

Introduction: textfeatures When we handle text data, we always have concerns about the data features, pre-processing of data, and more likely the predictions. To improve our model, it is important to understand the data and find the more interesting features in the data like hashtags, links, and many more. What is textfeatures? This is a…

Introduction When we come across a business analytical problem, without acknowledging the stumbling blocks, we proceed towards the execution. Before realizing the misfortunes, we try to implement and predict the outcomes. But do those outcomes reveal the strategies to decode the problems? The answer is NO. We can’t come up with…

Design your first CNN architecture using the Fashion MNIST dataset. — Introduction Image Classification is the technique to extract the features from the images to categorize them in the defined classes. It is a common-sense problem for the human to identify the images but, for the machine, it’s definitely not. …

This package will help you discover the emotions in textual messages — Introduction Emotion is the state of mind that is aligned with feelings, and thoughts usually directed toward a specific object. Emotion is a behavior that reflects personal significance or opinion regarding the interaction we have with other human beings or related to a certain event. The human being is able to…

Introduction A while ago whenever we bought a specific product, it was probably recommended by our friends or trusted persons. But now the scenario has changed, what the product recommendations on amazon or movie recommendations on Netflix we are getting that are basically on our own interests. By analyzing the customer’s…