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, we can use the Flask library with the Python requests library to post content using […]
Running a Flask Application with Python3: A Step-by-Step Guide Read More »
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 API inspired by the R package’s Janitor and built on top of the Pandas library
10 PyJanitor’s Miscellaneous Functions for Enhancing Data Cleaning 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 »
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 »
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. Be it classification, regression, or anomaly detection. Refer to this article on regression vs classification
Machine Learning Workflows with Pycaret in Python Read More »
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 in the form of rows and columns. One problem is solved. However, since the data
Data Cleaning with Pyjanitor: A Beginner’s Guide to Preprocessing Read More »
Undeniably, the crucial component of any project(small, large, or any real-world project) is the data we work on. Especially for machine learning and data science projects, gathering and cleaning datasets is the most significant step of the project pipeline. Data collection and preprocessing of the data should be performed correctly so that the model learns
PyTorch Datasets: A Guide to Loading and Using Popular Datasets Read More »
Regarding math problems, theories, or conjectures, some are not proven on a large scale and some are as mysterious and unsolved as they were when introduced. Mathematicians and researchers worldwide are working continuously to prove these theorems and we occasionally hear them succeed. The Collatz conjecture, also called the 3x + 1 problem or hailstone
The 3x+1 Collatz Conjecture Math Problem Explained Read More »
When it comes to machine learning or deep learning projects, the important and most crucial step after collecting and preprocessing data is the model selection. Choosing the right model will result in good accuracy on the training data and performance on the test data. PyTorch offers various pre-trained deep learning models like ResNet, AlexNet, VGG,
What Are the Pre-trained Models Available in PyTorch? Read More »