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1. Digital-image-processing Digital-image-processing Public

   Digital image processing is a branch of digital signal processing that tries to use and apply image processing computer algorithms in digital images.

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2. Mathematical-Functions-in-Neural-Networks Mathematical-Functions-in-Neural-Networks Public

   The primary objective of this paper is to explore and analyze the essential mathematical functions and equations that underpin neural networks

   Jupyter Notebook 1

3. Neural-networks-from-scratch Neural-networks-from-scratch Public

   🧠 Neural Networks from Scratch: A hands-on guide to understanding & implementing neural networks. Covers basics to advanced topics with Jupyter Notebooks. Perfect for learners & practitioners! 🚀

   Jupyter Notebook 1

4. Correlation-Matrix Correlation-Matrix Public

   Analysis of the Determinant of the Correlation Matrix

   Jupyter Notebook

5. Gradient-Descent-Algorithms Gradient-Descent-Algorithms Public

   Investigating the performance of gradient descent algorithms in reaching the minimum of a function

   Jupyter Notebook

6. Clustering Clustering Public

   Using Kmeans and Kneighbors algorithm for clustering Iris and Mall data

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