Sentiment Analysis
Sentiment Analysis – A Comprehensive Guide 1. Introduction to Sentiment Analysis Sentiment Analysis, also known as opinion mining, is a Natural Language Processing (NLP) technique that determines the emotional tone….
Tag: POS Tagging
Named Entity Recognition (NER)
Named Entity Recognition (NER) – A Comprehensive Guide 1. Introduction to Named Entity Recognition (NER) Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves….
Tokenization and Lemmatization
Tokenization and Lemmatization in Natural Language Processing (NLP) Introduction to Tokenization and Lemmatization Natural Language Processing (NLP) is a branch of artificial intelligence that enables machines to understand and process….
Business Applications of Time Series Analysis
Business Applications of Time Series Analysis 1. Introduction to Time Series Analysis in Business Time Series Analysis is a crucial statistical technique used in business to analyze data collected over….
Seasonal Decomposition of Time Series
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
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
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
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….
Naïve Bayes Classifier
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….
Hyperparameter Tuning
Hyperparameter Tuning in Machine Learning Introduction Hyperparameter tuning is a crucial step in optimizing machine learning models. Hyperparameters are external configurations that control the learning process and affect the performance….