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Linear Regression Modeling for Soccer Player Performance Prediction in the EPL
This project shows how analytics and AI increase profit and reduce risk in player selection by using linear regression to predict performance for British Premier League football stars.
Complete CNN Image Classification Models for Real Time Prediction
Learn to build real-time image classification models using Convolutional Neural Networks (CNN). This tutorial will guide you through creating and training models to predict insights for AI projects,
Predictive Analytics on Business License Data Using Deep Learning
This project teaches Deep Neural Networks (DNNs) using a dataset of 86,000 businesses. Participants will learn key concepts and use Python libraries like pandas, numpy, and TensorFlow for data analysis, cleaning, model building, and tuning.
Image Generation Model Fine Tuning With Diffusers Models
Diffusers and stable diffusion models can be used to improve image production. This project enables realistic synthesis with advanced deep learning techniques, interactive image creation via Gradio UI, and customizable training.
Question Answer System Training With Distilbert Base Uncased
Question Answering system built on Pegasus+SQuAD for accurate responses. Optimized for high accuracy and user experience across applications
Semantic Search Using Msmarco Distilbert Base & Faiss Vector Database
The Semantic Search System with Transformers and Faiss vectors can speed up and improve the accuracy of your searches. Find out about advanced information retrieval and personalized suggestions for a wide range of businesses.
Document Summarization Using Sentencepiece Transformers
Advanced transformer models and tokenization methods can be used to automate the summarization of documents. Quickly make high-quality abstracts to help people find knowledge and make decisions.
Customer Service Chatbot Using LLMs
The goal of this project is to create a customer support chatbot by using advanced methods for natural language processing.
Real-Time Human Pose Detection With YOLOv8 Models
YOLOv8 is used in this project to identify human poses in real time. As the COCO dataset is used to train the model, its performance is checked, and poses in photos and videos are predicted. Pose recognition compresses the video output so that it can be s
Real-Time License Plate Detection Using YOLOv8 and OCR Model
YOLOv8 and OCR models are used for accurate and quick results in automated license plate identification and recognition.
Medical Image Segmentation With UNET
You can improve UNet training by using checkpoints, LR adjustments, label encoding, and seeing examples to make sure they work.