image compression using K-means clustering
To deeply understand the concept of image compression using K-means clustering, let’s break it down into its core elements,…
Steps For Building End To End Machine Learning Projects
Steps for building end_to_end ML Projects: 1. Data Cleaning2. EDA3. Text Preprocessing4. Model Building5. Evaluation6. Improvements7. Website conversion8. Deployment#zulqai…
Porter Stemmer
The Porter Stemmer is a text-processing tool that reduces words to their “stem” or root form. It is part…
What is Hypothesis In Machine Learning
In machine learning and statistics, a hypothesis is essentially a proposed model or function that tries to explain the…
Hyperparameters
Hyperparameters are settings or configurations that you choose before training a machine learning or deep learning model. These parameters…
What Does Relu Activation Do In Machine learning
The ReLU activation function (Rectified Linear Unit) is one of the most commonly used activation functions in machine learning,…
Applications Of Algebra In Machine Learning
Algebra plays a critical role in machine learning as it forms the foundation for many mathematical operations and concepts…
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