In this article, we will learn about the near-miss algorithm, the different versions of it and implement the different versions on an imbalanced dataset.
In this article, we will learn in detail about what Cohen’s kappa is and how it can be useful in machine learning problems.
In this article, we will discuss spline regression with its implementation in python.
In this article, we will learn about how to implement a predictive model using MS excel and implement a linear regression algorithm.
In this article, we will use an algorithm called GrabCut to interactively segregate the foreground from the background in an image.
In this article, we will learn a little bit about DeepCognition and build an algorithm using DeepCognition platform.
In this article, we will see the different applications of the txtai and implement them in Python.
The purpose of this article is to build a credit card reader with OpenCV and machine learning techniques to identify the card number and the card type.
In this article, we will build a simple speech to text converter with Python and the google cloud API.
The purpose of this article is to extract information from a tabular image and store them directly as excel files.
In this article, we will see how to make use of autosklearn for classification and regression problems.
In this article, we will learn about the different animated graphs through plotly and implement each of them.
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