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Course Description: Object detection and tracking is a crucial task in computer vision and has many real-world applications such as...

Course Description: Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP), which involves identifying...

Course Description: Chatbots are computer programs designed to simulate conversation with human users. In this course, students will...

Course Description In this project, you will learn how to classify news articles into different categories using natural language...

Course Description In this project, you will learn how to perform sentiment analysis on political speeches using natural language...

Course Description In this project, you will learn how to perform sentiment analysis on customer support conversations using natural...

Course Description This online natural language processing training course focuses on the sentiment analysis of social media posts....

Course Description In this project you will learn how to perform sentiment analysis on product reviews using natural language processing...

Natural Language Processing (NLP) is a field of artificial intelligence and computational linguistics that focuses on the interactions...

Convolutional Neural Networks (CNNs) are a type of deep learning algorithm commonly used in computer vision and image processing tasks....

Reinforcement Learning (RL) is a subfield of machine learning that focuses on the design of intelligent agents that can learn to make...

Transfer learning is a machine learning technique where a model trained on one task is fine-tuned on a different but related task. The...

Image classification is a task in computer vision that involves assigning an object or class label to a digital image based on its visual...

Unsupervised learning is a type of machine learning that involves training models on data without labeled outputs. Unlike supervised...

Computer Vision is a field of study that focuses on how computers can be made to understand and interpret the visual world. It involves...

Time series analysis is a statistical method used to analyze time-based data and understand trends, patterns, and relationships in data...

Fraud detection is the process of identifying fraudulent activities in financial transactions or other types of data. Fraud detection is...

Generative Adversarial Networks (GANs) are a type of deep learning architecture used for generative modeling. GANs consist of two main...

Anomaly detection using machine learning is the process of identifying patterns or events in data that deviate from the norm. It's used...

Customer Churn Prediction: A project that uses historical customer data to build a model that predicts which customers are likely to...