Data Science Projects
Explore a comprehensive collection of data science projects covering a wide range of applications and techniques. Learn to implement deep learning in medical science, build movie recommender systems, predict stock prices using LSTM, create custom Alexa skills, perform principal component analysis, and develop gender classifiers and age estimators. Gain hands-on experience with OpenCV, Raspberry Pi, linear regression, DBSCAN clustering, and Flask deployment. Dive into practical projects such as heart disease prediction, lung disease detection, stock sentiment analysis, credit card fraud detection, and malaria disease detection using machine learning and deep learning techniques. Master hyperparameter optimization for XGBoost and tackle real-world problems like credit card risk assessment and diabetes prediction using datasets from Kaggle.