Amir-Tav
Hey this is Amir your average ML enthusiast. I have graduated my BSc at Brunel university and currently studying my masters of AI at Brunel university.
Pinned Repositories
Deep-Face-Detection
Here, I developed a neural network that’s all about spotting faces, whether in images or real-time video streams. Using a VGG16-based model, this project combines deep learning and some fancy bounding-box tricks to locate faces with accuracy
Fraud-detection
Appling unsupervised learning (Autoencoder) model to detect fraudulent transactions.
GANN-with-TensorFlow
How to build, train, and evaluate a Generative Adversarial Network (GAN) for generating fashion images. The project covers all essential steps, from model building to training and evaluation.
Image-sentiment-classification-using-CNN
This repository demonstrates how to build, train, and evaluate a Convolutional Neural Network (CNN) using TensorFlow and Keras for image classification. The project covers all essential steps, from data preparation to model evaluation, while utilizing TensorBoard for real-time monitoring.
ML-Code-Challenges
This is a repository that addresses the challenges provided by "ML Code Challenges" website!
NLP-Sentiment-Analysis-
Sentiment analysis using NLP techniques on Amazon product reviews. It covers text pre-processing, visualization, and basic sentiment classification.
Perseus-SYN-Flood-Detection
comparison of different machine learning models such as GB, XGB and NN to see which performs better at real time SYN flood detection
primitive-NN
How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.
Time-Series-energy-consumption-
This project uses XGBoost to predict hourly energy consumption based on historical data, leveraging time-based features like hour, day of week, and month.
transfer-learning-with-ResNet_50
how to implement Transfer Learning using the pre-trained ResNet50 model to classify different types of flowers
Amir-Tav's Repositories
Amir-Tav/Deep-Face-Detection
Here, I developed a neural network that’s all about spotting faces, whether in images or real-time video streams. Using a VGG16-based model, this project combines deep learning and some fancy bounding-box tricks to locate faces with accuracy
Amir-Tav/Fraud-detection
Appling unsupervised learning (Autoencoder) model to detect fraudulent transactions.
Amir-Tav/GANN-with-TensorFlow
How to build, train, and evaluate a Generative Adversarial Network (GAN) for generating fashion images. The project covers all essential steps, from model building to training and evaluation.
Amir-Tav/Image-sentiment-classification-using-CNN
This repository demonstrates how to build, train, and evaluate a Convolutional Neural Network (CNN) using TensorFlow and Keras for image classification. The project covers all essential steps, from data preparation to model evaluation, while utilizing TensorBoard for real-time monitoring.
Amir-Tav/ML-Code-Challenges
This is a repository that addresses the challenges provided by "ML Code Challenges" website!
Amir-Tav/NLP-Sentiment-Analysis-
Sentiment analysis using NLP techniques on Amazon product reviews. It covers text pre-processing, visualization, and basic sentiment classification.
Amir-Tav/Perseus-SYN-Flood-Detection
comparison of different machine learning models such as GB, XGB and NN to see which performs better at real time SYN flood detection
Amir-Tav/primitive-NN
How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.
Amir-Tav/Time-Series-energy-consumption-
This project uses XGBoost to predict hourly energy consumption based on historical data, leveraging time-based features like hour, day of week, and month.
Amir-Tav/transfer-learning-with-ResNet_50
how to implement Transfer Learning using the pre-trained ResNet50 model to classify different types of flowers