The Capital Asset Pricing Model ( CAPM ) is a fundamental concept in finance that gives us the expected return on investment, considering its risk and the overall market’s behavior. It is an important part of modern portfolio theory and has many applications in investment management, risk assessment, financial decision-making, etc. In this article, we […]
Understanding Capital Asset Pricing Model (CAPM) Read More »
The ‘list’ is a basic part of the Python language. The list is implemented in almost every deep learning, machine learning, and data science model, where Python is used as the main language. We can perform various operations on the Python lists. In this article, we will explore different techniques to split a list into
Splitting Lists into Sub-Lists in Python: Techniques and Advantages Read More »
Imagine you are working on creating a Flask application and you need to send or post JSON data to the application. In this tutorial, we are going to learn how to send JSON data to the Flask application using requests. But before that, we need to understand the basics of the Flask, requests libraries, and
Sending JSON Data to a Flask Using Requests in Python Read More »
Computer vision tasks are responsible for making computers see the world as we do, through our eyes, and perceive the information similarly. There are many computer-vision tasks such as object detection, object/image recognition, object segmentation, optical character recognition(OCR), pose estimation, object tracking, facial recognition, and so on, each having its specific use case. For example,
Object Detection with OpenCV: A Step-by-Step Tutorial Read More »
Exception handling is a very important part of Python code. Python programming language alerts the programmer of any unexpected situations, this is known as an exception. Sometimes, there are situations where exceptions go unnoticed and the interpreter provides us a message stating “Exception ignored in”. In this article, we will discuss the reasons behind these
Python Exception Handling: How to Fix “Exception ignored in” Messages Read More »
The ‘self’ is a keyword used in object-oriented programming to refer to the instance of a class. It acts as a placeholder for the instance itself, providing access to the attributes and methods defined within the class. When a method is called on an instance, ‘self’ allows the method to access and manipulate the instance’s
Understanding the Difference Between ‘self’ and ‘ctx’ in PyTorch Read More »
The applications of machine learning are growing rapidly and undoubtedly, are making business, education, and marketing easier and hassle-free. One such application of machine learning is anomaly detection. Anomaly detection is the process of identifying unusual patterns or behaviors in data that deviate significantly from the norm. It has wide-ranging applications, from detecting fraudulent transactions
Detecting Anomalies with Pycaret: A Step-by-Step Guide Read More »
The integration of R with the TensorFlow package along with Keras has allowed developers to utilize TensorFlow’s functionalities with R. Deep learning has become easier for R users due to the integration of R Keras with Python’s tensorflow module. However, this doesn’t mean that errors during installation have become null. As with every process, chances
Fix ‘Python module tensorflow.contrib.keras.python.keras was not found’ Read More »
PyTorch is a popular Python library that helps all deep learning enthusiasts. The torch.nn module is a very important component of PyTorch which helps with the building and training of neural networks. In this article, we will take a deep dive into the torch.nn module, its key components, and the implementation of the module in
Building Neural Networks with torch.nn in PyTorch Read More »
Pytorch is a prevalent machine learning library in Python programming language. Pytorch is a handy tool in neural networks and torch.optim module is used in various neural network models for training. This module provides us with multiple optimization algorithms for training neural networks. In this article, we will understand in depth about the torch.optim module
Optimizing Neural Networks with torch.optim in PyTorch Read More »