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This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
This repository contains all the Google Colab Notebooks where I have implemented different Neural Networks like ANN, CNN, RNN, and also other Deep Learning models such as Self-organizing Maps, Autoencoders, Boltzmann Machines, etc.