What is Natural Language Processing - NLP Full Course
Comprehensive introduction to Natural Language Processing, covering key concepts, techniques, and applications using Python, with hands-on projects in sentiment analysis and chatbot development.
Natural Language Processing - Zero to Hero
Explore NLP fundamentals with TensorFlow, from tokenization to sentiment analysis and AI-generated poetry, in this beginner-friendly series led by Laurence Moroney.
Alphy and Alphy Reflect - Creating a Reflective Mirror to Advance Women
Explore innovative social media platform designed to empower women through inspiring content, educational resources, and reflective communication tools, fostering a supportive community for personal growth.
Validating Daily Social Media Macroscopes of Emotions
Explore how social media sentiment analysis can accurately measure daily emotional dynamics of online communities, validated through surveys and applied to COVID-19 impact studies.
Ousiometrics and Telegnomics - Measuring Essential Meaning and Remote Knowledge
Explore the study of essential meaning and remotely sensed knowledge through innovative frameworks, examining language patterns, storytelling, and temporal dynamics in various contexts.
Text-Based Timeline Analysis and New Instruments for the Science of Stories
Exploring Twitter data as a telescope for observing collective human thought, revealing insights into sentiment, narrative power, and social dynamics through innovative text analysis techniques.
Sentiment Analysis with-without NLTK Python
Learn to perform sentiment analysis in Python, covering text cleaning, tokenization, emotion detection, and visualization, with optional NLTK integration for advanced analysis.
Microsoft's LUIS and Natural Language Processing
Explore Azure's LUIS for natural language processing, covering prebuilt domains, custom models, entity types, sentiment analysis, and command-line tools to enhance NLP capabilities.
Text Classification: AI Techniques and Real-World Applications
Discover AI-powered text classification techniques for spam detection, sentiment analysis, and topic categorization, exploring real-world business applications and best practices.
Coding TensorFlow
Comprehensive series exploring TensorFlow's capabilities, from basics to advanced topics like NLP, computer vision, and recommendation systems. Hands-on coding tutorials for various ML applications.
Market Basket Analysis - Apriori Algorithm Explained - Time Series
Learn market basket analysis, Apriori algorithm, sales prediction, text analysis, and sentiment analysis for business intelligence. Gain practical skills in data-driven decision-making and customer behavior prediction.
Image Processing with AWS - AWS Machine Learning and Artificial Intelligence
Comprehensive overview of AWS image processing, machine learning, and AI services, featuring hands-on demos of SageMaker, Rekognition, Comprehend, Polly, and Textract for practical applications.
Twitter API with Python
Learn to stream, analyze, and visualize Twitter data using Python. Master cursor pagination, data analysis techniques, and sentiment analysis for social media insights.
AssemblyAI
Learn to convert audio to text, summarize audio files, and perform sentiment analysis on audio using Python and speech recognition techniques.
Fundamental Analysis for Forex
Learn fundamental analysis for forex trading, covering economic indicators, central banks, and market sentiment to enhance your trading strategy and profitability.
Sentiment Analysis
Explore sentiment analysis techniques for cryptocurrency trading, covering indicators like long/short positions, volume, funding rates, and social sentiment to improve market insights.
Sentiment Analysis, Big Data, Natural Language Processing
Learn to analyze Twitter data using Python, NLTK, and machine learning techniques for sentiment analysis and user influence ranking.
Data Analytics with Python
Learn data analytics using Python, covering preprocessing, visualization, machine learning algorithms, and practical examples. Gain skills to analyze datasets, make predictions, and compete on Kaggle.
Data Visualization GUIs with Dash and Python
Learn to create interactive data visualization interfaces using Dash and Python, covering dynamic graphs, live updates, sentiment analysis, and app deployment for effective data presentation.
Machine Learning & Deep Learning Projects
Hands-on projects in machine learning and deep learning, covering chatbots, sentiment analysis, image captioning, speech recognition, customer segmentation, and facial expression detection.
Natural Language Processing
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. It will cover Tokenization, Stop Words and Word Embedding.