A deep learning-based face recognition system for secure authentication and attendance. Real-time detection and recognition using OpenCV and TensorFlow.
Machine learning model to predict customer churn using historical data. Implements feature engineering and multiple classification algorithms.
Time series analysis and prediction of stock prices using LSTM networks. Includes technical indicators and sentiment analysis.
Real-time sentiment analysis of social media posts using NLP techniques. Includes data collection, preprocessing, and visualization.
Machine learning regression model to predict house prices using Python, scikit-learn, and pandas with real estate dataset analysis. Implements Random Forest Regressor for accurate predictions and includes data cleaning, feature selection, and visualization.
Linear Regression model to predict a student's placement package (LPA) based on CGPA. Demonstrates the relationship between academic performance and placement salary using data visualization and machine learning.
Logistic Regression model to predict user purchase behavior based on social network ads data. Includes data preprocessing, model training, evaluation, and visualization of decision boundaries.