Machine Learning Models

Advanced ML solutions for real-world problems

8+

ML Models

95%

Accuracy

4+

Technologies

Image Classification Model

Deep learning model for image classification using CNN architecture with 95% accuracy on CIFAR-10 dataset.

Python TensorFlow CNN OpenCV

Stock Price Prediction

LSTM-based model for predicting stock prices with time series analysis and sentiment integration.

Python LSTM pandas yfinance

Sentiment Analysis

NLP model for sentiment analysis using BERT and transformers for social media text classification.

Python BERT Transformers NLTK

Customer Segmentation

Unsupervised learning model using K-means clustering for customer behavior analysis and segmentation.

Python scikit-learn K-means matplotlib

Recommendation System

Collaborative filtering recommendation system for personalized content suggestions.

Python Surprise Pandas NumPy

Fraud Detection

Anomaly detection model for identifying fraudulent transactions using isolation forest algorithm.

Python Isolation Forest scikit-learn seaborn
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