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,…
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…
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…
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…
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…
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…
Neural Networks can do pretty much everything. From classifying whether the given is a cat or a dog, object detection and even generating new images, they have many functionalities. As impressive as they are, building or training a neural network…
Imagine you are working on a big project that needs data from multiple sources. Agreed that collecting this data is cumbersome as it is, but storing the data together for easy access is an even more gruesome task. You would…
The Pandas library is regarded as the best Python tool for data analysis and storage. The library has several useful methods that export data from the Python environment to other compatible software and vice versa, cleaning and exploring the data.…
