Transformer Models (BERT, GPT) – A Comprehensive Guide Introduction Transformer models have revolutionized Natural Language Processing (NLP) by providing a more efficient and scalable approach to text understanding compared to….
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….
Word Embeddings (Word2Vec, GloVe) in NLP Introduction In Natural Language Processing (NLP), traditional techniques like Bag of Words (BoW) and TF-IDF treat words as independent entities, ignoring their contextual meaning…..
Autoregressive (AR) Models: A Comprehensive Guide 1. Introduction to Autoregressive (AR) Models Autoregressive (AR) models are one of the fundamental models used in time series forecasting. The AR model predicts….
Prophet for Time Series Forecasting: A Detailed Guide 1. Introduction to Prophet Prophet is an open-source forecasting tool developed by Facebook (Meta). It is designed to handle time series forecasting….
Apache Airflow for Workflow Automation: A Comprehensive Guide Introduction to Apache Airflow Apache Airflow is an open-source workflow automation and orchestration tool that allows you to create, schedule, and monitor….
Hadoop Ecosystem Overview: A Comprehensive Guide Introduction to Hadoop Apache Hadoop is an open-source framework designed to store and process massive amounts of data in a distributed and scalable manner…..
Apache Spark for Big Data Analytics: A Comprehensive Guide Introduction Apache Spark is an open-source, distributed computing framework designed for big data processing and analytics. It is one of the….
Working with MongoDB in Data Science: A Comprehensive Guide Introduction MongoDB is a NoSQL database that is widely used in data science for handling large-scale, semi-structured, and unstructured data. Unlike….
Using SQL for Data Science: A Comprehensive Guide Introduction Structured Query Language (SQL) is a powerful tool used in data science for managing, querying, and analyzing structured data. Data scientists….
