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Community detection is an integral part of Graph theory. Different community detection algorithms and implement one in Python.
Learn about Support Vector Machines (SVM) & Support Vector Regression (SVR), including implementation in Python and key differences b/w them.
Master Random Forest hyperparameter tuning! Explore max_depth, n_estimators, min_samples_split, & more to optimize ML models effectively.
Image classification using CNN and explore how to create, train, and evaluate neural networks for image classification tasks.
Explore the architecture, training, and prediction processes of 12 types of neural networks in deep learning, including CNNs, LSTMs, and RNNs
An introduction to neural networks. Understand the math behind convolutional neural networks with forward and backward propagation & Build a CNN using NumPy.
A beginner-level introduction to Generative Models and GANs. This is an end-to-end guide to understand how GANs work in computer vision.
Here's a break down of the best papers from NeurIPS 2019! Each NeurIPS 2019 best paper is sumamrized and explained in this article.
Learn about Attention Mechanism, its introduction in deep learning, implementation in Python using Keras, and its applications in computer vision.
Guide to graph representation of data and how to perform feature extraction from graphs using DeepWalk. Learn about DeepWalk and its python implementation
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