Advanced ML solutions for real-world problems
ML Models
Accuracy
Technologies
Deep learning model for image classification using CNN architecture with 95% accuracy on CIFAR-10 dataset.
LSTM-based model for predicting stock prices with time series analysis and sentiment integration.
NLP model for sentiment analysis using BERT and transformers for social media text classification.
Unsupervised learning model using K-means clustering for customer behavior analysis and segmentation.
Collaborative filtering recommendation system for personalized content suggestions.
Anomaly detection model for identifying fraudulent transactions using isolation forest algorithm.