shahanHasan/SPEC-DGS-ULPSM--MQX-PM-BME280-DHT-sensors-python-Implementation

Intrusion-Detection-System-Adversarial-Attacks-

Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { learning rate, epochs, network architectures, regularisation } | Adversarial Attacks - Label flip , Adversarial samples , KNN (defence)

Autonomous-vehicle-using-open-CV-and-Machine-Learning

This is my final year project .

BenchMark-Optimizers-in-Deep-learning-for-Email-Classification-

BenchMarking Optimizers in Deep learning (Bi directional simple RNN, Bi-LSTM, Bi-GRU) for Email Classification (NLP)

Spam-Email-Classification-Adversarial-Attacks

Spam Email Classification using ML classifiers and DNN ( ANN , CNN , RNN ) | Adversarial Attacks , Label flip , Faulty records , KNN (defence)