Projects
Titanic Survival Rate Prediction Using Machine Learning
Prediction of casualty/survival rates of the Titanic incident using passenger dataset with the help of supervised/unsupervised learning models such as Logistic Regression, Tree Model, Neural Network, and Ensemble Methods. Finally, we benefitted from Validation and Cross-Validation.
Algorithmic Trading
Algorithmic Trading project by benefiting two different moving average strategies. The model is evaluated based on the Bitcoin Perpetual market, utilising minute- level data retrieved and trading executed through the Deribit Test API. The strategy is implemented using the Python programming language.
