What will you learn? In this tutorial, you will delve into the concept of macro accuracy in Scikit Learn. You will grasp how to calculate macro accuracy and its significance in handling imbalanced datasets. Introduction to the Problem and Solution In machine learning classification tasks, class imbalances where some classes have more samples than others … Read more
What will you learn? In this tutorial, you will master the implementation of the RandomForestClassifier algorithm in Python to predict unknown categorical variables. Gain insights through a detailed explanation and FAQs. Introduction to the Problem and Solution When faced with a dataset containing categorical variables that require prediction, leveraging machine learning algorithms like RandomForestClassifier proves … Read more
What will you learn? In this tutorial, you’ll learn how to plot a confusion matrix using a pre-trained model in Python for evaluating the performance of a machine learning model. Introduction to the Problem and Solution When working on classification tasks, understanding the accuracy of your model is essential. One way to achieve this is … Read more
What will you learn? By following this tutorial, you will master the process of converting an AudioClassification model called ced-tiny to make it compatible for use on an Android device. You will explore how to leverage TensorFlow Lite for optimizing the model and deploying it efficiently on mobile devices. Introduction to the Problem and Solution … Read more