Seasonal Decomposition of Time Series (STL, Classical Decomposition) 1. Introduction to Seasonal Decomposition Seasonal Decomposition of Time Series (SDTS) is a statistical technique used to break down a time series….
Using Google Colab for Deep Learning: A Comprehensive Guide Introduction to Google Colab Google Colab (Colaboratory) is a free cloud-based Jupyter notebook environment provided by Google. It enables users to….
PyTorch Basics: A Comprehensive Guide Introduction to PyTorch PyTorch is an open-source deep learning framework developed by Facebook’s AI Research (FAIR) lab. It provides an easy-to-use platform for tensor computations,….
Kubernetes for Scalable ML Models: A Comprehensive Guide Introduction to Kubernetes for Machine Learning Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of….
Transformers in Deep Learning: A Detailed Explanation Transformers have revolutionized the field of deep learning, especially in Natural Language Processing (NLP), by providing a highly parallelizable and scalable architecture for….
Long Short-Term Memory Networks (LSTMs): Detailed Explanation Long Short-Term Memory Networks (LSTMs) are a specialized type of Recurrent Neural Networks (RNNs) that are specifically designed to overcome the limitations of….
Introduction to Neural Networks: Detailed Explanation A Neural Network (NN) is a computational model inspired by the way biological neural networks in the human brain process information. It is a….
Naïve Bayes Classifier in Machine Learning 1. Introduction to Naïve Bayes Classifier The Naïve Bayes (NB) classifier is a probabilistic machine learning algorithm used for classification tasks. It is based….
k-Nearest Neighbors (k-NN) Algorithm in Machine Learning 1. Introduction to k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) is a supervised learning algorithm used for classification and regression tasks. It is a….
Support Vector Machines (SVM) in Machine Learning 1. Introduction to Support Vector Machines (SVM) Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression problems. SVM….
