-
🌱 I’m currently learning Data Science,MachineLearning,Deep Learning,NLP
-
📫 How to reach me [email protected]
-
📄 Know about my experiences MY CV
- Build One-vs-ALL and One-vs-One Based-On the Most Important Features
- Classification models Using KNN - GussianNB Models and tuning many different parameters using Wine data set
- Machine Learning Clustering Models
- Machine Learning Bagging and Boosting Models
- Machine Learning Project Network Intrusion Detection using Deep Learning
- Intrusion-Detection-over-Kafka-stream
- Kaggle-competition
- Sports Products Multi-Class Classification | Using ResNet, VGG, and AlexNet Models to classify the different types of sports or their equipment.
- Malware-classification-using-Malimg-dataset
- MetaLearning-Few-shot-learning
- Applying Machine Learning Models To Image Classification (the Cifar10 dataset)
- Applying Deep Learning Models to Image Classification (Caltech-UCSD Birds-200-2011)
- Applying Regularization and Data Augmentation on CNN Model to Image Classification (Leaf counting dataset)
- practice-deep-learning-facerecognition tutorial for learning
- recommend food review
- chatbot depression awarness
- Gutenberg Book Classification (Classification-Is-All-You-Need) | Predict the author or the name of the book given some text, using classification and clustering techniques.
- Gutenberg Book Clustering (Clustering-Is-All-You-Need)
- Literature review("Task-Aware Representation of Sentences for Generic Text Classification")
- ElectionPredictionUsingsentimentanalysis