Topic: "dataset-handling"
amancore/Twitter-Sentiment-Analysis
A machine learning project using RNN and LSTM to classify tweets into positive, neutral, and negative sentiments. Includes data preprocessing, model training, and deployment for public access.
Language: Jupyter Notebook - Size: 159 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
sarojinisharon/Object-Detection-with-Faster-R-CNN
This project focuses on real-time object detection and tracking using the Faster R-CNN model, emphasizing accuracy over speed. It utilizes the COCO 2017 dataset for training, which contains diverse and complex images. The Faster R-CNN model is integrated with FiftyOne for visualizing predictions and ground truth annotations. A custom CentroidTracke
Language: Python - Size: 10.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
