Modules is one of the best feature of Python. Except some core modules, you can install what you need and keep your Python setup smooth.
Flask is a lightweight web framework of Python used to build, develop, and deploy lightweight web applications with little code requirements. It can also be easily integrated with other Python libraries to develop amazing applications for the web. For example,…
In the previous post, we reviewed some of the basic data-cleaning functions available in PyJanitor. This post aims to understand some of the miscellaneous functions offered by the data-cleaning clean API. For starters, PyJanitor is a data cleaning and processing…
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.…
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…
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…
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,…
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…
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…
Machine Learning is a diverse field growing continuously with applications spread across many domains like agriculture, finance, marketing, and many more. To utilize machine learning in any domain, we need first to build a model suitable for the use case.…
Imagine you are working on your dream machine-learning project in Python and collecting huge data from various sources. How do we integrate this huge data? Use data frames! A data frame is a table-like data storage format that stores data…
