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Optical Character Recognition (OCR) is a technique of reading or grabbing text from images and convert them into a digital format
In this article, we are going to learn about Transfer Learning using VGG16 in Pytorch and see how as a data scientist we can implement it
This article will be improving the k-means clustering algorithm by applying Transfer Learning techniques for classification of images.
Learn how to create and interpret a confusion matrix for multi-class classification. Explore metrics like precision, recall, and F1-score!
In this article, We will containerize a machine-learning application using docker and will push the created Docker image to DockerHub.
In this article, we are going to deep dive into Must-Know Statistical Data Analysis Techniques in Machine Learning
In this article, we will deep dive into the entity extraction technique - Named Entity Recognition, which is very useful the pipeline of NLP
We will discuss on Semantic analysis, which is a level of the NLP tasks, and see all the important terminologies or concepts in this analysis
Learn about GridSearchCV which uses the Grid Search technique for finding the optimal hyperparameters to increase the model performance.
TS-SS similarity is a Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering in NLP
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