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In this project, we will learn to convert an photo into a sketch, using the OpenCV library in Python. This is an important application of CV
LDA is one of the ways to implement Topic Modelling. It is clustering a collection of documents based on the topics they cover.
Here, we are going to develop a classification model. The model will be trained using Google automl and we will use bigquery for predictions.
In this article, we understand indexing in Natural Language Processing for Information retrieval in with implementation in Python
This article is a guide to Building a Hand Tracking System using OpenCV. Let's understand this with implementation in python
In this tutorial, you will see an overview of Snowflake, its architecture, and how to create a database, schema, and tables inside Snowflake.
Docker is a platform that deals with building, running,distributing applications with containers. Dockers csn be used to distribute ML models.
DCGAN uses convolutional and convolutional-transpose layers in the generator and discriminator, respectively for image data
Bias is a vast term and it could be present during the data collection, set of rules or algorithms, or even at the ML output interpretation
In this article we are going to perform facial landmark detection using opencv and mediapipe. We will detect 468 face landmarks in an image.
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