The "view" method in Python's PyTorch library is a powerful tool that allows for flexible manipulation of the shapes of the tensor. Understanding how the "view" method works is essential for efficiently reshaping tensors to meet specific requirements within deep learning models. By leveraging the "view" method, developers can modify ... Read More

Autoencoders are a highly effective category of neural networks utilized for unsupervised learning and reducing the dimensionality of data. They possess the ability to learn compact representations of input data by encoding it into a latent space of lower dimensions and subsequently decoding it to restore the original input. This ... Read More

In Python, variables are stored differently based on their type and scope either it can be stored in the heap or in the stack which are the two main memory regions utilized for a variable storage. Python, being a high-level programming language, abstracts away many low-level memory management details from ... Read More

Python-Plotly, a widely-used data visualization library, offers various features to enhance visualizations, one such feature is hover text and formatting, which allows users to provide additional information and customize the appearance of tooltips when hovering over data points. Data visualization is a powerful tool for understanding and presenting complex information. ... Read More

With the introduction of the power of machine learning in predicting house prices using Python has revolutionized the real estate industry. In this article, we explore the dynamic world of house price prediction using cutting-edge machine-learning techniques. By harnessing the vast potential of data analysis, feature engineering, and model training ... Read More

One of the most crucial aspects of data analysis is proficiently visualizing data to pinpoint trends and patterns rapidly and a highly effective tool to visualize categorical and continuous variables is by using a horizontal strip plot with jitter . Our article will demonstrate how to create horizontal stripplot ... Read More

Boxplots are one of the most popular tools available for data visualization of the datasets which is mainly created using a python library called Seaborn, which provides a simple and powerful way to create both horizonatal and vertical boxplots and other types of visualizations. In this article, we will be ... Read More

While working with clustering algorithms in Python, it is important to be able to evaluate the performance of the models, and one of the popular metrics for evaluating the performance of the clustering model is the homogeneity score using sklearn. It measures how well the labels assigned by a clustering ... Read More

Holistically-Nested Edge Detection (HED) is a deep learning-based method for detecting edges in images which can be performed using deep learning and a Python library, OpenCV. The holistically-Nested Edge detection was first introduced by Xie and Tu in 2015 and has since been widely used in computer-vision applications.Currently, it has ... Read More

Histograms are the graphical representations of the dataset distribution and can be created using Plotly , a Python library with a class known as graph_objects, using which we can create the histogram. Histograms are useful for understanding the shape of the dataset which also includes outliers, central tendency, and spread. ... Read More