Preprocessing is an important step in EDA, as it can help to reduce noise and improve the quality of the images. Common preprocessing techniques include resizing, normalization, data augmentation, image …
Performing data preprocessing – Exploring Image Data Read MoreThe first step in any EDA process is to load the image data into your Integrated Development Environment (IDE) workspace, such as VS Code, Jupyter Notebook, or any other Python …
Loading the data – Exploring Image Data Read MoreIn this section, we explore the power of visualization tools and techniques to gain meaningful insights into the characteristics and patterns of image data. Using Python libraries such as Matplotlib …
Visualizing image data using Matplotlib in Python – Exploring Image Data Read MoreIn this chapter, we will learn how to explore image data using various packages and libraries in Python. We will also see how to visualize images using Matplotlib and analyze …
Technical requirements – Exploring Image Data Read MoreUsing semi-supervised learning to label regression data In this section, we are going to use semi-supervised learning to label the regression data. Semi-supervised learning is a type of machine learning …
Pseudo-labeling – Labeling Data for Regression-1 Read MoreWe then loop through each row in the unlabeled data and compute the distances to each target label’s summary statistics using Euclidean distance. We select the target label with the …
Finding the closest labeled observation to match the label – Labeling Data for Regression Read MoreIn this chapter, we will explore the process of labeling data for regression-based machine learning tasks, such as predicting housing prices, in situations where there is insufficient labeled data available …
Technical requirements – Labeling Data for Regression Read MoreUnsupervised learning is a category of machine learning where the algorithm is tasked with discovering patterns, structures, or relationships within a dataset without explicit guidance or labeled outputs. In other …
What is unsupervised learning? – Labeling Data for Classification-1 Read MoreSemi-supervised learning falls in between supervised learning and unsupervised learning: In this case, first we will generate the pseudo-labels using a small part of the labeled dataset with supervised learning: …
What is semi-supervised learning? – Labeling Data for Classification Read MoreHours per week rule function The hours per week rule function is used to check whether the working hours per week of the person is greater than 40; if so, …
Creating a label model – Labeling Data for Classification Read More